_ | lung | _ |
3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in | lung | CT, A |
3D conditional generative adversarial network-based synthetic medical image augmentation for | lung | nodule detection |
3D image analysis of the | lung | area using thin section CT images and its application to differential diagnosis |
3D | lung | nodule candidate detection in multiple scales |
3D model of the human | lung | with lung regions characterization, A |
3D model of the human | lung | with lung regions characterization, A |
3D modelling and visualization of the human | lung | |
3D Probabilistic Deep Learning System for Detection and Diagnosis of | lung | Cancer Using Low-Dose CT Scans, A |
Accuracy Improvement of | lung | Cancer Detection Based on Spatial Statistical Analysis of Thoracic CT Scans |
accurate black | lung | detection using transfer learning based on deep neural networks, An |
Accurate Identification of Tomograms of | lung | Nodules Using Cnn: Influence of the Optimizer, Preprocessing and Segmentation |
Accurate | lung | s Segmentation on CT Chest Images by Adaptive Appearance-Guided Shape Modeling |
Accurate Segmentation for Pathological | lung | Based on Integration of 3D Appearance and Surface Models |
adaptive segmentation and 3-D visualisation of the | lung | s, An |
Adaptive Weighting Landmark-Based Group-Wise Registration on | lung | DCE-MRI Images |
Advanced | lung | cancer classification approach adopting modified graph clustering and whale optimisation-based feature selection technique accompanied by a hybrid ensemble classifier |
Airway Segmentation, Skeletonization, and Tree Matching to Improve Registration of 3D CT Images with Large Opacities in the | lung | s |
Analysis of Color Images of Tissues Derived from Patients with Adenocarcinoma of the | lung | |
Analysis of Different Clustering Algorithms for ROI Detection in High Resolutions CT | lung | Images, An |
Analysis of directional patterns of | lung | nodules in computerized tomography using Getis statistics and their accumulated forms as malignancy and benignity indicators |
Analysis of | lung | scan imaging using deep multi-task learning structure for Covid-19 disease |
Anatomical Modeling with Fuzzy Implicit Surface Templates: Application to Automated Localization of the Heart and | lung | s in Thoracic MR Volumes |
Anatomy-Guided | lung | Lobe Segmentation in X-Ray CT Images |
Appearance-based diagnostic system for early assessment of malignant | lung | nodules |
Application of Artificial Neural Networks to Medical Image Pattern-Recognition: Detection of Clustered Microcalcifications on Mammograms and | lung | -Cancer on Chest Radiographs |
Artificial images for classifying diffuse | lung | opacities in thin section computed tomography images |
Artificial Neural Network and Fuzzy Clustering Methods in Segmenting Sputum Color Images for | lung | Cancer Diagnosis |
Artificial Neural Networks for Acoustic | lung | Signals Classification |
Atlas-Driven | lung | Lobe Segmentation in Volumetric X-Ray CT Images |
attention-enhanced cross-task network to analyse | lung | nodule attributes in CT images, An |
Automated 3-D Segmentation of | lung | s With Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach |
Automated 3-D Segmentation of | lung | s With Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach |
Automated 3D Segmentation of | lung | Fields in Thin Slice CT Exploiting Wavelet Preprocessing |
Automated Chest X-Ray Screening: Can | lung | Region Symmetry Help Detect Pulmonary Abnormalities? |
Automated CT image evaluation of the | lung | : a morphology-based concept |
Automated delineation of | lung | tumors from CT images using a single click ensemble segmentation approach |
Automated delineation of non-small cell | lung | cancer: A step toward quantitative reasoning in medical decision science |
Automated detection of | lung | nodules in computed tomography images: a review |
Automated Extraction and Visualization of Bronchus from 3D CT Images of | lung | |
Automated Interpretation of Ventilation-Perfusion | lung | Scintigrams for the Diagnosis of Pulmonary Embolism Using Support Vector Machines |
Automated | lung | cancer detection by the analysis of glandular cells in sputum cytology images using scale space features |
Automated morphological classification of | lung | cancer subtypes using H&E tissue images |
Automated texture-based characterization of fibrosis and carcinoma using low-dose | lung | CT images |
Automated Workflow for | lung | Nodule Follow-up Recommendation Using Deep Learning, An |
Automatic analysis of 3D low dose CT images for early diagnosis of | lung | cancer |
Automatic COVID-19 | lung | infected region segmentation and measurement using CT-scans images |
Automatic detection and segmentation of | lung | nodules in different locations from CT images based on adaptive a-hull algorithm and DenseNet convolutional network |
Automatic Detection of | lung | Cancers in Chest CT Images by Variable N-Quoit Filter |
automatic | lung | cancer detection from X-ray images obtained through yearly serial mass survey, An |
Automatic | lung | Cancer Follow-up Recommendation with 3d Deep Learning |
Automatic | lung | segmentation based on Graph Cut using a distance-constrained energy |
Automatic | lung | segmentation for accurate quantitation of volumetric X-ray CT images |
Automatic | lung | Segmentation in CT Images using Watershed Transform |
Automatic | lung | segmentation in HRCT images with diffuse parenchymal lung disease using graph-cut |
Automatic | lung | segmentation in HRCT images with diffuse parenchymal lung disease using graph-cut |
Automatic | lung | Segmentation of Volumetric Low-Dose CT Scans Using Graph Cuts |
Automatic | lung | Tumor Detection Based on GLCM Features |
Automatic Morphological Classification of | lung | Cancer Subtypes with Boosting Algorithms for Optimizing Therapy |
Automatic Pathological | lung | Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition |
Automatic segmentation and classification of | lung | tumour using advance sequential minimal optimisation techniques |
Automatic Segmentation and Registration of | lung | Surfaces in Temporal Chest CT Scans |
Automatic Segmentation of | lung | Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm |
Automatic Segmentation of | lung | Regions in Chest Radiographs: A Model Guided Approach |
Automatic segmentation of pathological | lung | using incremental nonnegative matrix factorization |
BG-Net: Boundary-Guided Network for | lung | Segmentation on Clinical CT Images |
Bridging the GAP Between Outputs: Domain Adaptation for | lung | Cancer IHC Segmentation |
CA-UNet: Convolution and attention fusion for | lung | nodule segmentation |
CAGAN: Classifier-augmented generative adversarial networks for weakly-supervised COVID-19 | lung | lesion localisation |
Central Medialness Adaptive Strategy for 3D | lung | Nodule Segmentation in Thoracic CT Images |
Classification of | lung | Nodule Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies |
Co-Learning Feature Fusion Maps From PET-CT Images of | lung | Cancer |
Coarse-to-Fine Morphological Approach with Knowledge-Based Rules and Self-Adapting Correction for | lung | Nodules Segmentation, A |
COLI-Net: Deep learning-assisted fully automated COVID-19 | lung | and infection pneumonia lesion detection and segmentation from chest computed tomography images |
Combining Generative and Discriminative Representation Learning for | lung | CT Analysis With Convolutional Restricted Boltzmann Machines |
Combining Graph-cut Technique And Anatomical Knowledge For Automatic Segmentation Of | lung | s Affected By Diffuse Parenchymal Disease In Hrct Images |
Combining the gabor and histogram features for classifying diffuse | lung | opacities in thin-section computed tomography |
Comparing two classes of end-to-end machine-learning models in | lung | nodule detection and classification: MTANNs vs. CNNs |
comprehensive framework for early assessment of | lung | injury, A |
Computer aided diagnosis system for early | lung | cancer detection |
Computer Aided Diagnosis System for | lung | Cancer Based on Helical CT Images |
Computer Aided Diagnosis System with Functions to Assist Comparative Reading for | lung | Cancer Based on Helical CT Image |
Computer Analysis of Computed Tomography Scans of the | lung | : A Survey |
Computer-aided diagnosis of | lung | cancer based on analysis of the significant slice of chest computed tomography image |
Computer-aided diagnosis system of | lung | carcinoma using Convolutional Neural Networks |
Computer-Assisted Diagnosis of | lung | Cancer Using Quantitative Topology Features |
Computerized Analysis of Classification of | lung | Nodules and Comparison between Homogeneous and Heterogeneous Ensemble of Classifier Model |
Computerized Detection of | lung | Nodules with an Enhanced False Positive Reduction Scheme |
Conductivity characteristics of human | lung | tissues |
Content-Based Scheme for CT | lung | Image Retrieval, A |
Context Aware | lung | Cancer Annotation in Whole Slide Images Using Fully Convolutional Neural Networks |
Context Curves for Classification of | lung | Nodule Images |
Convolutional neural network in the detection of | lung | carcinoma using transfer learning approach |
Correction to Segmentation of the Body and | lung | s from Compton Scatter and Photopeak Window Data |
Correlation between Biopsy Confirmed Cases and Radiologist's Annotations in the Detection of | lung | Nodules by Expanding the Diagnostic Database Using Content Based Image Retrieval |
COVID-19 Detection from | lung | Ultrasound Images using a Fuzzy Ensemble-based Transfer Learning Technique |
COVID-19 | lung | infection segmentation from chest CT images based on CAPA-ResUNet |
COVID-19 Related Pneumonia Detection in | lung | Ultrasound |
COVID-index: A texture-based approach to classifying | lung | lesions based on CT images |
COVSeg-NET: A deep convolution neural network for COVID-19 | lung | CT image segmentation |
CT-PET Landmark-based | lung | Registration Using a Dynamic Breathing Model |
Current-and Varifold-Based Registration of | lung | Vessel and Airway Trees |
Data-Driven | lung | Nodule Models for Robust Nodule Detection in Chest CT |
Deep co-supervision and attention fusion strategy for automatic COVID-19 | lung | infection segmentation on CT images |
Deep Ensemble Learning Approach to | lung | CT Segmentation for Covid-19 Severity Assessment, A |
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care | lung | Ultrasound |
Deep Learning Video Classification of | lung | Ultrasound Features Associated with Pneumonia |
Deep Residual 3d U-net for Joint Segmentation and Texture Classification of Nodules in | lung | |
Deep-learning framework to detect | lung | abnormality: A study with chest X-Ray and lung CT scan images |
Deep-learning framework to detect | lung | abnormality: A study with chest X-Ray and lung CT scan images |
Deep3DSCan: Deep residual network and morphological descriptor based framework for | lung | cancer classification and 3D segmentation |
Deformable registration model with local rigidity preservation for radiation therapy of | lung | tumor |
Delineating low-count defective-contour SPECT | lung | scans for PE diagnosis using adaptive dual exponential thresholding and active contours |
Detecting the Edges of | lung | Tumors by Classification Techniques |
Detection and diagnosis of COVID-19 infection in | lung | s images using deep learning techniques |
Detection and recognition of | lung | abnormalities using deformable templates |
Detection and recognition of | lung | nodules in spiral CT images using deformable templates and Bayesian post-classification |
Detection and segmentation of sputum cell for early | lung | cancer detection |
Detection of Interstitial | lung | Disease using correlation and regression methods on texture measure |
Detection of | lung | Nodule Candidates in Chest Radiographs |
Detection of | lung | tumor using dual tree complex wavelet transform and co-active adaptive neuro fuzzy inference system classification approach |
DHS-CapsNet: Dual horizontal squash capsule networks for | lung | and colon cancer classification from whole slide histopathological images |
Diagnosis of Non-Small Cell | lung | Cancer Using Phylogenetic Diversity in Radiomics Context |
Differential Gene Expression Analysis of the Most Relevant Genes for | lung | Cancer Prediction and Sub-type Classification |
Differentiating Honeycombed Images from Normal HRCT | lung | Images |
Differentiation of COVID-19 pneumonia from other | lung | diseases using CT radiomic features and machine learning: A large multicentric cohort study |
Diffuse | lung | disease classification in HRCT lung images using generalized Gaussian density modeling of wavelets coefficients |
Diffuse | lung | disease classification in HRCT lung images using generalized Gaussian density modeling of wavelets coefficients |
Digital Subtraction CT | lung | Perfusion Image Based on 3D Affine Registration |
Direct Differentiation of Pathological Changes in the Human | lung | Parenchyma With Grating-Based Spectral X-ray Dark-Field Radiography |
Directional Multi-scale Modeling of High-Resolution Computed Tomography (HRCT) | lung | Images for Diffuse Lung Disease Classification |
Directional Multi-scale Modeling of High-Resolution Computed Tomography (HRCT) | lung | Images for Diffuse Lung Disease Classification |
Discovery Radiomics for Pathologically-Proven Computed Tomography | lung | Cancer Prediction |
Domain adaptation and weight initialization of neural networks for diagnosing interstitial | lung | diseases |
Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for | lung | Cancer Radiotherapy |
Efficient graph cuts based extraction of vertebral column and ribs in | lung | MDCT images |
efficient | lung | image classification and detection using spiral-optimized Gabor filter with convolutional neural network, An |
Efficient Segmentation of | lung | Abnormalities in CT Images |
Eigen nodule: view-based recognition of | lung | nodule in chest X-ray CT images using subspace method |
Emphysema, | lung | Analysis |
Employing Acoustic Features To Aid Neural Networks Towards Platform Agnostic Learning In | lung | Ultrasound Imaging |
End-to-End Multi-Task Learning for | lung | Nodule Segmentation and Diagnosis |
Enhanced Deep Learning Architecture for Classification of Tuberculosis Types From CT | lung | Images, An |
Enhancing | lung | abnormalities diagnosis using hybrid DCNN-ViT-GRU model with explainable AI: A deep learning approach |
Enhancing the Prediction of | lung | Cancer Survival Rates Using 2d Features from 3d Scans |
ERS transform for the automated detection of bronchial abnormalities on CT of the | lung | s |
Estimation of Large Motion in | lung | CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration |
Evaluating Cell Nuclei Segmentation for Use on Whole-Slide Images in | lung | Cytology |
Evaluation of Contrast Enhancement Filters for | lung | Nodule Detection |
Evaluation of Deep Feedforward Neural Networks for Classification of Diffuse | lung | Diseases |
Evolutionary General Purpose WebGIS to Disclose EGFR Mutations in | lung | Cancer, An |
Explainable Model for Localization of Spiculation in | lung | Nodules |
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent | lung | Sliding in M-Mode Lung Ultrasound |
Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent | lung | Sliding in M-Mode Lung Ultrasound |
Extended and optimized deep convolutional neural network-based | lung | tumor identification in big data |
Extraction of | lung | Region From 3D Chest X-ray CT Images by Using Shape Model Information of Lung |
Extraction of | lung | Region From 3D Chest X-ray CT Images by Using Shape Model Information of Lung |
Feature-Based Image Patch Approximation for | lung | Tissue Classification |
Feature-Based | lung | Nodule Classification |
Finding postirradiation reaction in | lung | s from digitized X-rays |
Firefly Competitive Swarm Optimization Based Hierarchical Attention Network for | lung | Cancer Detection |
Framework for Automatic Segmentation of | lung | Nodules from Low Dose Chest CT Scans, A |
Framework for Unsupervised Segmentation of | lung | Tissues from Low Dose Computed Tomography Images, A |
Fully Automated Method for | lung | Nodule Detection From Postero-Anterior Chest Radiographs, A |
Fully Convolutional Neural Network for | lung | s Segmentation from Chest X-Rays |
Fusing Shape Information in | lung | Segmentation in Chest Radiographs |
Fuzzy relevance vector machine based classification of | lung | nodules in computed tomography images |
Generation of Anatomically Inspired Human Airway Tree Using Electrical Impedance Tomography: A Method to Estimate Regional | lung | Filling Characteristics |
Generic Approach to Pathological | lung | Segmentation, A |
Gestalt-Guided Boundary Follower for X-Ray Images of | lung | Nodules, A |
GFNet: Automatic segmentation of COVID-19 | lung | infection regions using CT images based on boundary features |
Going Back to Basics on Volumetric Segmentation of the | lung | s in CT: A Fully Image Processing Based Technique |
GPU accelerated regional | lung | air volume measurements from phase contrast X-ray images |
Graph Cuts-Based Registration Revisited: A Novel Approach for | lung | Image Registration Using Supervoxels and Image-Guided Filtering |
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D | lung | CTs |
Hand Crafted Features for Efficient | lung | Cancer Diagnosis Using Stacked Autoencoder |
Hidden conditional random field for | lung | nodule detection |
Hierarchical | lung | Field Segmentation With Joint Shape and Appearance Sparse Learning |
Hierarchical Patch-Based Sparse Representation: A New Approach for Resolution Enhancement of 4D-CT | lung | Data |
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other | lung | conditions using medical images |
Image classification toward | lung | cancer recognition by learning deep quality model |
Image data augmentation for improving performance of deep learning-based model in pathological | lung | segmentation |
Image Processing for Computer-Aided Diagnosis of | lung | Cancer by CT (LSCT) |
Image-based CAD system for accurate identification of | lung | injury |
Image-guided Endoscopy for | lung | -cancer Assessment |
Improved pulmonary | lung | nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm |
Improving | lung | region segmentation accuracy in chest X-ray images using a two-model deep learning ensemble approach |
Improving the Accuracy of Registration-Based Biomechanical Analysis: A Finite Element Approach to | lung | Regional Strain Quantification |
Inf-Net: Automatic COVID-19 | lung | Infection Segmentation From CT Images |
Information-Theoretic Approach for Analyzing Bias and Variance in | lung | Nodule Size Estimation With CT: A Phantom Study |
integrated feature frame work for automated segmentation of COVID-19 infection from | lung | CT images, An |
Integrating Domain Knowledge Into Deep Networks for | lung | Ultrasound With Applications to COVID-19 |
Interactive classification of | lung | tissue in CT scans by combining prior and interactively obtained training data: A simulation study |
Kernel-based Bayesian clustering of computed tomography images for | lung | nodule segmentation |
Keynote speaker: Computer aided diagnostics in medicine: Discrimination for some | lung | diseases |
Knockoff filter-based feature selection for discrimination of non-small cell | lung | cancer in CT image |
Knowledge-based Collaborative Deep Learning for Benign-Malignant | lung | Nodule Classification on Chest CT |
Knowledge-Guided And Hyper-Attention Aware Joint Network For Benign-Malignant | lung | Nodule Classification |
Label-Free Segmentation of COVID-19 Lesions in | lung | CT |
Learning Deep Spatial | lung | Features by 3D Convolutional Neural Network for Early Cancer Detection |
Learning From Ambiguous Labels for | lung | Nodule Malignancy Prediction |
Learning-Based Method for Solving Ill-Posed Nonlinear Inverse Problems: A Simulation Study of | lung | EIT, A |
Leveraging CycleGAN in | lung | CT Sinogram-free Kernel Conversion |
lightweight capsule network architecture for detection of COVID-19 from | lung | CT scans, A |
Limited-Range Few-View CT: Using Historical Images for ROI Reconstruction in Solitary | lung | Nodules Follow-up Examination |
Line Detection as an Inverse Problem: Application to | lung | Ultrasound Imaging |
Lisnet: A Covid-19 | lung | Infection Segmentation Network Based on Edge Supervision and Multi-Scale Context Aggregation |
Local motion analysis in 4D | lung | CT using fast groupwise registration |
LoG Characteristic Scale: A Consistent Measurement of | lung | Nodule Size in CT Imaging, The |
Low-Dose | lung | CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database |
| lung | 4D CT Image Registration Based on High-Order Markov Random Field |
| lung | and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches |
| lung | cancer classification using exponential mean saturation linear unit activation function in various generative adversarial network models |
| lung | cancer detection by using probabilistic majority voting and optimization techniques |
| lung | Cancer Detection from Thoracic CT Scans Using 3-D Deformable Models Based on Statistical Anatomical Analysis |
| lung | computed axial tomography image segmentation using possibilistic fuzzy C-means approach for computer aided diagnosis system |
| lung | CT image enhancement based on total variational frame and wavelet transform |
| lung | Disease Classification in Chest X-Rays with Feature Fusion via Stacked Convolutional Denoising Autoencoders |
| lung | field segmentation in chest radiographs: a historical review, current status, and expectations from deep learning |
| lung | Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images, A |
| lung | HRCT pattern classification for cystic fibrosis using convolutional neural network |
| lung | Lesion Extraction Using a Toboggan Based Growing Automatic Segmentation Approach |
| lung | lobe segmentation in computed tomography images based on multi-feature fusion and ensemble learning framework |
| lung | Motion Analysis, Respiration, Breathing |
| lung | Motion Correction on Respiratory Gated 3-D PET/CT Images |
| lung | Nodule Classification Based on Deep Convolutional Neural Networks |
| lung | Nodule Classification by Jointly Using Visual Descriptors and Deep Features |
| lung | Nodule Classification Using Deep Features in CT Images |
| lung | nodule classification utilizing support vector machines |
| lung | Nodule Detection using Eye-Tracking |
| lung | Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework |
| lung | Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge |
| lung | Nodule Malignancy Subtype Discovery with Semantic Learning |
| lung | Nodule Modeling: A Data-Driven Approach |
| lung | Nodules Detection and Classification |
| lung | Nodules Segmentation with DeepHealth Toolkit |
| lung | Parenchyma Segmentation from CT Images Based on Material Decomposition |
| lung | Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network |
| lung | Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network |
| lung | segmentation and automatic detection of COVID-19 using radiomic features from chest CT images |
| lung | segmentation based on Nonnegative Matrix Factorization |
| lung | segmentation based on random forest and multi-scale edge detection |
| lung | segmentation in chest radiographs by fusing shape information in iterative thresholding |
| lung | Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration |
| lung | segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference |
| lung | segmentation in chest X-ray image using multi-interaction feature fusion network |
| lung | segmentation on chest X-ray images in patients with severe abnormal findings using deep learning |
| lung | Structure Classification Using 3D Geometric Measurements and SVM |
| lung | tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model |
| lung | Tumor Segmentation Using Electric Flow Lines for Graph Cuts |
| lung | tumour detection by fusing extended local binary patterns and weighted orientation of difference from computed tomography |
| lung | -Nodule Segmentation Using a Convolutional Neural Network with the U-Net Architecture |
| lung | s cancer classification from CT images: An integrated design of contrast based classical features fusion and selection |
| lung | s, and Lung Cancer Image Analysis |
| lung | s, and Lung Cancer Image Analysis |
LW-CovidNet: Automatic covid-19 | lung | infection detection from chest X-ray images |
Machine Learning with Data Science-Enabled | lung | Cancer Diagnosis and Classification Using Computed Tomography Images |
Manifold learning for 4D CT reconstruction of the | lung | |
Markov-Gibbs model based registration of CT | lung | images using subsampling for the follow-up assessment of pleural thickenings |
Mass Transportation for Deformable Image Registration with Application to | lung | CT |
MDCT-Based 3-D Texture Classification of Emphysema and Early Smoking Related | lung | Pathologies |
Memory-Augmented Capsule Network for Adaptable | lung | Nodule Classification |
Merging parametric active contours within homogeneous image regions for MRI-based | lung | segmentation |
Method for Enhancing | lung | Nodules in Chest Radiographs by Use of LoG Filter, A |
Method for PET-CT | lung | Cancer Segmentation based on Improved Random Walk, A |
MID-UNet: Multi-input directional UNet for COVID-19 | lung | infection segmentation from CT images |
MIXCAPS: A capsule network-based mixture of experts for | lung | nodule malignancy prediction |
Modeling an effectual multi-section You Only Look Once for enhancing | lung | cancer prediction |
Modeling | lung | Architecture in the XCAT Series of Phantoms: Physiologically Based Airways, Arteries and Veins |
modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID-19 | lung | infections, A |
Modified Quality Threshold Clustering for Temporal Analysis and Classification of | lung | Lesions |
Morphological feature extraction and KNG-CNN classification of CT images for early | lung | cancer detection |
Motion Correction of Intravital Microscopy of Preclinical | lung | Tumour Imaging Using Multichannel Structural Image Descriptor |
MRF-Based Deformable Registration and Ventilation Estimation of | lung | CT |
MTGAN: Mask and Texture-driven Generative Adversarial Network for | lung | Nodule Segmentation |
Multi-crop Convolutional Neural Networks for | lung | nodule malignancy suspiciousness classification |
Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial | lung | Disease Pattern Detection |
Multi-level deep learning based | lung | cancer classifier for classification based on tumour-node-metastasis approach |
Multi-scale feature fusion network with local attention for | lung | segmentation |
Multi-stage Neural Networks with Single-Sided Classifiers for False Positive Reduction and Its Evaluation Using | lung | X-Ray CT Images |
Multi-Task Deep Model With Margin Ranking Loss for | lung | Nodule Analysis |
Multi-view multi-scale CNNs for | lung | nodule type classification from CT images |
Multiclassifier Approach for | lung | Nodule Classification, A |
multilevel self-attention based segmentation and classification technique using Directional Hexagonal Mixed Pattern algorithm for | lung | nodule detection in thoracic CT image, A |
Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of | lung | |
Multiple Resolution Residually Connected Feature Streams for Automatic | lung | Tumor Segmentation From CT Images |
Multiscale sparse representation of high-resolution computed tomography (HRCT) | lung | images for diffuse lung disease classification |
Multiscale sparse representation of high-resolution computed tomography (HRCT) | lung | images for diffuse lung disease classification |
Multiview convolutional neural networks for | lung | nodule classification |
N-Phase Local Expansion Ratio for Characterizing Out-of-Phase | lung | Ventilation |
new approach for automatic analysis of 3D low dose CT images for accurate monitoring the detected | lung | nodules, A |
new automated delineation method for SPECT | lung | scans using adaptive dual-exponential thresholding, A |
New CAD System for Early Diagnosis of Detected | lung | Nodules, A |
new framework for incorporating appearance and shape features of | lung | nodules for precise diagnosis of lung cancer, A |
new framework for incorporating appearance and shape features of | lung | nodules for precise diagnosis of lung cancer, A |
new model-based framework for | lung | tissue segmentation in three-dimensional thoracic CT images, A |
No Surprises: Training Robust | lung | Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks |
Nodule Generation of | lung | CT Images Using a 3d Convolutional LSTM Network |
Nonlinear Motion Correction of Respiratory-Gated | lung | SPECT Images |
Novel 3D Joint MGRF Framework for Precise | lung | Segmentation, A |
Novel Approach for Automatic Follow-Up of Detected | lung | Nodules, A |
Novel Approach for | lung | Nodules Segmentation in Chest CT Using Level Sets, A |
Novel Autoencoder-Based Diagnostic System for Early Assessment of | lung | Cancer, A |
Novel computer-aided | lung | cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics |
novel Gaussian Scale Space-based joint MGRF framework for precise | lung | segmentation, A |
novel marker-less tumor tracking strategyonlow-rank fluoroscopic images for image-guided | lung | cancer radiotherapy, A |
novel receptive field-regularized V-net and nodule classification network for | lung | nodule detection, A |
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed | lung | Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study |
Novel superpixel-based algorithm for segmenting | lung | images via convolutional neural network and random forest |
On utilizing 2D features from 3D scans to enhance the prediction of | lung | cancer survival rates |
Optimal deep belief network with opposition-based hybrid grasshopper and honeybee optimization algorithm for | lung | cancer classification: A DBNGHHB approach |
Optimized | lung | cancer detection by amended whale optimizer and rough set theory |
OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy | lung | in X-ray images |
Pathological categorization of | lung | carcinoma from multimodality images using convolutional neural networks |
Patient-Specific Biomechanical Model for the Prediction of | lung | Motion From 4-D CT Images |
Patient-specific models for | lung | nodule detection and surveillance in CT images |
PET-Guided Attention Network for Segmentation of | lung | Tumors from PET/CT Images |
Pneumonia, | lung | Analysis, Flu, COVID |
Predicting | lung | cancer treatment response from CT images using deep learning |
Prediction of | lung | Tumor Evolution During Radiotherapy in Individual Patients With PET |
ProCAN: Progressive growing channel attentive non-local network for | lung | nodule classification |
Progressive global perception and local polishing network for | lung | infection segmentation of COVID-19 CT images |
Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of | lung | Lesions, A |
Pulmonary Nodules, | lung | Nodules |
pyramid input augmented multi-scale CNN for GGO detection in 3D | lung | CT images, A |
qdwi-morph: Motion-compensated Quantitative Diffusion-weighted MRI Analysis for Fetal | lung | Maturity Assessment |
Quantification of shrinkage of | lung | lobe from chest ct images using the 3d extended voronoi division and its application to the benign/malignant discrimination of tumor shadows |
Quantitative and Qualitative Evaluation of Selected | lung | MR Image Registration Techniques |
quantitative evaluation of | lung | nodule spiculation based on image enhancement, A |
Quantitative evaluation of margin sharpness of pulmonary nodules in | lung | CT images |
Quoit Filter: A New Filter Based on Mathematical Morphology to Extract the Isolated Shadow, and Its Application to Automatic Detection of | lung | Cancer in X-Ray CT |
Radiogenomics: | lung | Cancer-Related Genes Mutation Status Prediction |
Random Walk and Graph Cut for Co-Segmentation of | lung | Tumor on PET-CT Images |
Real-Time GPU-Aided | lung | Tumor Tracking |
Real-time Image-Based Guidance Method for | lung | -Cancer Assessment |
Realistic | lung | Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism |
Recognition Method of | lung | Nodule Shadows in X-ray Ct Images Using 3d Object Models, A |
Recognition of | lung | Cancers on CT Using 3-D Object Models of Different Classes |
Recognition of | lung | lobes and its application to the bronchial structure analysis |
Recognition of | lung | nodules from x-ray ct images using 3d markov random field models |
Reconstruction of super-resolution | lung | 4D-CT using patch-based sparse representation |
Reduction of false positives in | lung | nodule detection using a two-level neural classification |
Regional | lung | Perfusion Analysis in Experimental ARDS by Electrical Impedance and Computed Tomography |
Regional | lung | perfusion as determined by electrical impedance tomography in comparison with electron beam ct imaging |
Regression as a Tool to Measure Segmentation Quality and Preliminary Indicator of Diseased | lung | s |
Reliable | lung | Segmentation Methodology by Including Juxtapleural Nodules |
Results in the Clinical Trial of CAD System for | lung | Cancer Using Helical CT Images, The |
Robust detection of adventitious | lung | sounds in electronic auscultation signals |
Robust segmentation of | lung | tissue in chest CT scanning |
Robustness-Driven Feature Selection in Classification of Fibrotic Interstitial | lung | Disease Patterns in Computed Tomography Using 3D Texture Features |
Rotational invariant fractional derivative filters for | lung | tissue classification |
RRc-UNet 3D for | lung | tumor segmentation from CT scans of Non-Small Cell Lung Cancer patients |
RRc-UNet 3D for | lung | tumor segmentation from CT scans of Non-Small Cell Lung Cancer patients |
SALSA: A Simple Automatic | lung | Segmentation Algorithm |
Satellite-Derived PM2.5 Composition and Its Differential Effect on Children's | lung | Function |
SAtUNet: Series atrous convolution enhanced U-Net for | lung | nodule segmentation |
Scale-Space Representation of | lung | HRCT Images for Diffuse Lung Disease Classification |
Scale-Space Representation of | lung | HRCT Images for Diffuse Lung Disease Classification |
SCOAT-Net: A novel network for segmenting COVID-19 | lung | opacification from CT images |
Segmentation of | lung | airways based on deep learning methods |
Segmentation of | lung | Tumor in Cone Beam CT Images Based on Level-Sets |
Segmentation of | lung | s with Interstitial Lung Disease in CT Scans: A TV-L 1 Based Texture Analysis Approach |
Segmentation of | lung | s with Interstitial Lung Disease in CT Scans: A TV-L 1 Based Texture Analysis Approach |
Segmentation of pathological | lung | s from CT chest images |
Segmentation of sputum color image for | lung | cancer diagnosis |
Segmentation of sputum color image for | lung | cancer diagnosis based on neural networks |
Segmentation of the body and | lung | s from Compton scatter and photopeak window data in SPECT: a Monte-Carlo investigation |
Segmenting | lung | Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics |
Segmenting | lung | parenchyma from CT images with gray correlation-based clustering |
Self-Supervised Multi-Scale Cropping and Simple Masked Attentive Predicting for | lung | CT-Scan Anomaly Detection |
Semantic context-aware attention UNET for | lung | cancer segmentation and classification |
semantic contour based segmentation of | lung | s from chest x-rays for the classification of tuberculosis using Naive Bayes classifier, A |
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From | lung | CT Scans With Multi-Scale Guided Dense Attention |
Semivariogram and SGLDM Methods Comparison for the Diagnosis of Solitary | lung | Nodule |
Shift-Invariant Neural Network for the | lung | Field Segmentation in Chest Radiography, A |
Simulations of Short-Time Diffusivity in | lung | Airspaces and Implications for S/V Measurements Using Hyperpolarized-Gas MRI |
Size and Texture-Based Classification of | lung | Tumors with 3D CNNs |
Small Nodules Localization on CT Images of | lung | s |
Smoothing Segmented | lung | Boundary in Chest CT Images Using Scan Line Search |
Sparse representation of audio features for sputum detection from | lung | sounds |
Spatiotemporal Characteristics of Freeze-Thawing Erosion in the Source Regions of the Chin-Sha, Ya- | lung | and Lantsang Rivers on the Basis of GIS |
statistical analysis of the effects of CT acquisition parameters on low-level features extracted from CT images of the | lung | , A |
Statistical Modeling of 4D Respiratory | lung | Motion Using Diffeomorphic Image Registration |
Statistical modeling of the | lung | nodules in low dose computed tomography scans of the chest |
Stratified learning of local anatomical context for | lung | nodules in CT images |
Structure-Adaptive Feature Extraction and Representation for Multi-modality | lung | Images Retrieval |
Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for | lung | tumor classification |
Supervised enhancement of | lung | nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD) |
Surface Normal Overlap: A Computer-Aided Detection Algorithm with Application to Colonic Polyps and | lung | Nodules in Helical CT |
Survival Analysis based on | lung | Tumor Segmentation using Global Context-aware Transformer in Multimodality |
Synergistic learning of | lung | lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images |
Synthesizing Diverse | lung | Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection |
Technique for | lung | Nodule Candidate Detection in CT Using Global Minimization Methods, A |
Texture Analysis in | lung | HRCT Images |
Texture-Based Probabilistic Approach for | lung | Nodule Segmentation, A |
Three Dimensional Analysis of | lung | Areas Using Thin Slice CT Images |
Toward Automated Segmentation of the Pathological | lung | in CT |
Toward More Precise Radiotherapy Treatment of | lung | Tumors |
Towards Detecting High-Uptake Lesions from | lung | CT Scans Using Deep Learning |
Towards Virtual H E Staining of Hyperspectral | lung | Histology Images Using Conditional Generative Adversarial Networks |
transformer-based deep neural network for detection and classification of | lung | cancer via PET/CT images, A |
Triple novelty block detection and classification approach for | lung | tumor analysis |
Tumor Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From | lung | Cancer |
Tumour growth prediction of follow-up | lung | cancer via conditional recurrent variational autoencoder |
Two-stream collaborative network for multi-label chest X-ray Image classification with | lung | segmentation |
UIP-Net: A Decoder-encoder CNN for the Detection and Quantification of Usual Interstitial Pneumoniae Pattern in | lung | CT Scan Images |
Unified Approach for EIT Imaging of Regional Overdistension and Atelectasis in Acute | lung | Injury, A |
Unifying Vascular Information in Intensity-Based Nonrigid | lung | CT Registration |
UniToChest: A | lung | Image Dataset for Segmentation of Cancerous Nodules on CT Scans |
Unmixing three types of | lung | sounds by convex optimization |
Unsupervised feature selection applied to content-based retrieval of | lung | images |
Unsupervised Pre-training Across Image Domains Improves | lung | Tissue Classification |
Variational approach for segmentation of | lung | nodules |
Volumetric | lung | nodule segmentation in thoracic CT scan using freehand sketch |
Weakly Semi-supervised Detector-based Video Classification with Temporal Context for | lung | Ultrasound |
Weakly Supervised Deep Learning for Whole Slide | lung | Cancer Image Analysis |
weakly supervised inpainting-based learning method for | lung | CT image segmentation, A |
whole-slide pathology segmentation framework for the diagnosis of non-small cell | lung | cancer, A |
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