Index for lung

_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 lungs 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 lungs, 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 lungs
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 lungs 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 lungs With Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach
Automated 3-D Segmentation of lungs 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 lungs 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 lungs 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 lungs 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 lungs
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 lungs 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 lungs 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 lungs 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
lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection
lungs, and Lung Cancer Image Analysis
lungs, 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 lungs
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 lungs with Interstitial Lung Disease in CT Scans: A TV-L 1 Based Texture Analysis Approach
Segmentation of lungs with Interstitial Lung Disease in CT Scans: A TV-L 1 Based Texture Analysis Approach
Segmentation of pathological lungs 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 lungs 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 lungs 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 lungs
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
417 for lung

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Last update:25-Mar-24 16:25:56
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