| _ | nodule | _ |
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| 3-D Riesz-Covariance Texture Model for Prediction of | nodule | Recurrence in Lung CT, A |
| 3D analysis of solitary pulmonary | nodule | s based on contrast enhanced dynamic CT |
| 3D conditional generative adversarial network-based synthetic medical image augmentation for lung | nodule | detection |
| 3D lung | nodule | candidate detection in multiple scales |
| 3D multi-resolution attention capsule network for diagnosing multi-pathological types of pulmonary | nodule | s |
| 3D multi-resolution deep learning model for diagnosis of multiple pathological types on pulmonary | nodule | s |
| 3dcnn for Pulmonary | nodule | Segmentation and Classification |
| Accuracy Improvement of Pulmonary | nodule | Detection Based on Spatial Statistical Analysis of Thoracic CT Scans |
| Accurate classification of | nodule | s and non-nodules from computed tomography images based on radiomics and machine learning algorithms |
| Accurate classification of | nodule | s and non-nodules from computed tomography images based on radiomics and machine learning algorithms |
| Accurate estimation of pulmonary | nodule | 's growth rate in CT images with nonrigid registration and precise nodule detection and segmentation |
| Accurate estimation of pulmonary | nodule | 's growth rate in CT images with nonrigid registration and precise nodule detection and segmentation |
| Accurate Identification of Tomograms of Lung | nodule | s Using Cnn: Influence of the Optimizer, Preprocessing and Segmentation |
| Analysis of directional patterns of lung | nodule | s in computerized tomography using Getis statistics and their accumulated forms as malignancy and benignity indicators |
| Appearance-based diagnostic system for early assessment of malignant lung | nodule | s |
| Application of support-vector-machine-based method for feature selection and classification of thyroid | nodule | s in ultrasound images |
| attention-enhanced cross-task network to analyse lung | nodule | attributes in CT images, An |
| Automated detection of lung | nodule | s in computed tomography images: a review |
| Automated detection of pulmonary | nodule | s in helical CT images based on an improved template-matching technique |
| Automated Pulmonary | nodule | Detection in CT Images Using Deep Convolutional Neural Networks |
| Automated Workflow for Lung | nodule | Follow-up Recommendation Using Deep Learning, An |
| Automatic benign and malignant classification of pulmonary | nodule | s in thoracic computed tomography based on RF algorithm |
| Automatic classification for solitary pulmonary | nodule | in CT image by fractal analysis based on fractional Brownian motion model |
| Automatic detection and segmentation of blood vessels and pulmonary | nodule | s based on a line tracking method and generalized linear regression model |
| Automatic detection and segmentation of lung | nodule | s in different locations from CT images based on adaptive a-hull algorithm and DenseNet convolutional network |
| Automatic Detection of | nodule | s in Legumes by Imagery in a Phenotyping Context |
| Automatic Pulmonary | nodule | Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection |
| Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary | nodule | s in CT Images |
| Automatic segmentation for pulmonary | nodule | s in CT images based on multifractal analysis |
| Bag-of-Frequencies: A Descriptor of Pulmonary | nodule | s in Computed Tomography Images |
| CA-UNet: Convolution and attention fusion for lung | nodule | segmentation |
| Central Medialness Adaptive Strategy for 3D Lung | nodule | Segmentation in Thoracic CT Images |
| Characterization of Pulmonary | nodule | s in Computed Tomography Images Based on Pseudo-Labeling Using Radiology Reports |
| Classification of Lung | nodule | Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies |
| Classification of Pulmonary | nodule | s in Thin Section CT Images Based on Shape Characterization |
| Classification of Pulmonary | nodule | s in Thin-section CT Images by Using Multi-scale Curvature Indexes |
| Coarse-to-Fine Morphological Approach with Knowledge-Based Rules and Self-Adapting Correction for Lung | nodule | s Segmentation, A |
| Comb-Push Ultrasound Shear Elastography (CUSE) for Evaluation of Thyroid | nodule | s: Preliminary In Vivo Results |
| Comparing two classes of end-to-end machine-learning models in lung | nodule | detection and classification: MTANNs vs. CNNs |
| Comprehensive Framework For Accurate Classification of Pulmonary | nodule | s, A |
| computed tomography signs quantization analysis method for pulmonary | nodule | s malignancy grading, A |
| Computer aided differential diagnosis of pulmonary | nodule | s using curvature based analysis |
| Computer-aided detection of pulmonary | nodule | s using genetic programming |
| Computer-Aided Diagnosis for Pulmonary | nodule | s Based on Helical CT Images |
| Computer-Aided Diagnosis of Solid Breast | nodule | s: Use of an Artificial Neural Network Based on Multiple Sonographic Features |
| Computer-Aided Diagnostic Scheme for Distinction Between Benign and Malignant | nodule | s in Thoracic Low-Dose CT by Use of Massive Training Artificial Neural Network |
| Computerized Analysis of 3-d Pulmonary | nodule | Images in Surrounding and Internal Structure Feature Spaces |
| Computerized Analysis of Classification of Lung | nodule | s and Comparison between Homogeneous and Heterogeneous Ensemble of Classifier Model |
| Computerized Analysis of Pulmonary | nodule | s in Topological and Histogram Feature Spaces |
| Computerized Characterization of Contrast Enhancement Patterns for Classifying Pulmonary | nodule | s |
| Computerized Detection of Lung | nodule | s with an Enhanced False Positive Reduction Scheme |
| Context Curves for Classification of Lung | nodule | Images |
| Correlation between Biopsy Confirmed Cases and Radiologist's Annotations in the Detection of Lung | nodule | s by Expanding the Diagnostic Database Using Content Based Image Retrieval |
| Curvature based analysis of internal structure of pulmonary | nodule | s using thin-section CT images |
| Curvature Based Analysis of Pulmonary | nodule | s Using Thin-Section CT Images |
| Data-Driven Lung | nodule | Models for Robust Nodule Detection in Chest CT |
| Data-Driven Lung | nodule | Models for Robust Nodule Detection in Chest CT |
| deep learning-shape driven level set synergism for pulmonary | nodule | segmentation, A |
| Deep Residual 3d U-net for Joint Segmentation and Texture Classification of | nodule | s in Lung |
| DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary | nodule | Detection and Classification |
| Detection and recognition of lung | nodule | s in spiral CT images using deformable templates and Bayesian post-classification |
| Detection of Lung | nodule | Candidates in Chest Radiographs |
| dual-task region-boundary aware neural network for accurate pulmonary | nodule | segmentation, A |
| Efficient and Effective Ultrasound Image Analysis Scheme for Thyroid | nodule | Detection |
| eFis: A Fuzzy Inference Method for Predicting Malignancy of Small Pulmonary | nodule | s |
| Eigen | nodule | : view-based recognition of lung nodule in chest X-ray CT images using subspace method |
| Eigen | nodule | : view-based recognition of lung nodule in chest X-ray CT images using subspace method |
| End-to-End Multi-Task Learning for Lung | nodule | Segmentation and Diagnosis |
| Enhancing pulmonary | nodule | detection via cross-modal alignment |
| Estimating Diameters of Pulmonary | nodule | s with Competition-Diffusion and Robust Ellipsoid Fit |
| Evaluation of Contrast Enhancement Filters for Lung | nodule | Detection |
| Explainable Model for Localization of Spiculation in Lung | nodule | s |
| Extended Belief Rule-Based System With Accurate Rule Weights and Efficient Rule Activation for Diagnosis of Thyroid | nodule | s |
| Feature-Based Lung | nodule | Classification |
| Framework for Automatic Segmentation of Lung | nodule | s from Low Dose Chest CT Scans, A |
| Fully Automated Method for Lung | nodule | Detection From Postero-Anterior Chest Radiographs, A |
| Fuzzy relevance vector machine based classification of lung | nodule | s in computed tomography images |
| Gestalt-Guided Boundary Follower for X-Ray Images of Lung | nodule | s, A |
| Hidden conditional random field for lung | nodule | detection |
| Hierarchical Temporal Attention Network for Thyroid | nodule | Recognition Using Dynamic CEUS Imaging |
| Image Registration Method with Radial Feature Points Sampling: Application to Follow-Up CT Scans of a Solitary Pulmonary | nodule | , An |
| improved method for thyroid | nodule | ultrasound image segmentation based on U2-Net, An |
| Improved pulmonary lung | nodule | s risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm |
| Information-Theoretic Approach for Analyzing Bias and Variance in Lung | nodule | Size Estimation With CT: A Phantom Study |
| Internal Structure Analysis of Pulmonary | nodule | s in Topological and Histogram Feature Spaces |
| Kernel-based Bayesian clustering of computed tomography images for lung | nodule | segmentation |
| 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 |
| Learning efficient, explainable and discriminative representations for pulmonary | nodule | s classification |
| Learning From Ambiguous Labels for Lung | nodule | Malignancy Prediction |
| Learning from Weakly-Labeled Clinical Data for Automatic Thyroid | nodule | Classification in Ultrasound Images |
| Level Set Based Unified Framework for Pulmonary | nodule | Segmentation, A |
| Limited-Range Few-View CT: Using Historical Images for ROI Reconstruction in Solitary Lung | nodule | s Follow-up Examination |
| Local and Global Feature Disentangled Network: Toward Classification of Benign-Malignant Thyroid | nodule | s From Ultrasound Image, A |
| LoG Characteristic Scale: A Consistent Measurement of Lung | nodule | Size in CT Imaging, The |
| 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 | nodule | Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism |
| Lung | nodule | s Detection and Classification |
| Lung | nodule | s Segmentation with DeepHealth Toolkit |
| Lung- | nodule | Segmentation Using a Convolutional Neural Network with the U-Net Architecture |
| Memory-Augmented Capsule Network for Adaptable Lung | nodule | Classification |
| Method for Enhancing Lung | nodule | s in Chest Radiographs by Use of LoG Filter, A |
| MIXCAPS: A capsule network-based mixture of experts for lung | nodule | malignancy prediction |
| Mixed Kernel Function SVM for Pulmonary | nodule | Recognition |
| MTGAN: Mask and Texture-driven Generative Adversarial Network for Lung | nodule | Segmentation |
| Multi-crop Convolutional Neural Networks for lung | nodule | malignancy suspiciousness classification |
| multi-kernel based framework for heterogeneous feature selection and over-sampling for computer-aided detection of pulmonary | nodule | s, A |
| Multi-Label Softmax Networks for Pulmonary | nodule | Classification Using Unbalanced and Dependent Categories |
| Multi-objectives optimisation of features selection for the classification of thyroid | nodule | s in ultrasound images |
| Multi-Task Deep Model With Margin Ranking Loss for Lung | nodule | Analysis |
| Multi-view Coupled Self-attention Network for Pulmonary | nodule | s Classification |
| Multi-view multi-scale CNNs for lung | nodule | type classification from CT images |
| Multiclassifier Approach for Lung | nodule | Classification, A |
| Multicontext 3D residual CNN for false positive reduction of pulmonary | nodule | detection |
| multilevel self-attention based segmentation and classification technique using Directional Hexagonal Mixed Pattern algorithm for lung | nodule | detection in thoracic CT image, A |
| Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid | nodule | Classification |
| Multiview convolutional neural networks for lung | nodule | classification |
| new approach for automatic analysis of 3D low dose CT images for accurate monitoring the detected lung | nodule | s, A |
| New CAD System for Early Diagnosis of Detected Lung | nodule | s, A |
| new framework for incorporating appearance and shape features of lung | nodule | s for precise diagnosis of lung cancer, 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 |
| Novel Approach for Automatic Follow-Up of Detected Lung | nodule | s, A |
| Novel Approach for Lung | nodule | s Segmentation in Chest CT Using Level Sets, A |
| Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary | nodule | s, A |
| novel receptive field-regularized V-net and | nodule | classification network for lung nodule detection, A |
| novel receptive field-regularized V-net and | nodule | classification network for lung nodule detection, A |
| novel segmentation algorithm for pulmonary | nodule | in chest radiograph, A |
| On Measuring the Change in Size of Pulmonary | nodule | s |
| Optimisation analysis of pulmonary | nodule | diagnostic test based on deep belief nets |
| Parameterized Gompertz-Guided Morphological AutoEncoder for Predicting Pulmonary | nodule | Growth |
| Patient-specific models for lung | nodule | detection and surveillance in CT images |
| PET Counting Response Variability Depending on Tumor Location, Activity, and Patient Obesity: A Feasibility Study of Solitary Pulmonary | nodule | Using Monte Carlo |
| ProCAN: Progressive growing channel attentive non-local network for lung | nodule | classification |
| Pulmonary | nodule | Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks |
| Pulmonary | nodule | detection on computed tomography using neuro-evolutionary scheme |
| Pulmonary | nodule | risk classification in adenocarcinoma from CT images using deep CNN with scale transfer module |
| Pulmonary | nodule | s, Lung Nodules |
| Pulmonary | nodule | s, Lung Nodules |
| Pulmonary- | nodule | Detection Using an Ensemble of 3d Se-resnet18 and Dpn68 Models |
| quantitative evaluation of lung | nodule | spiculation based on image enhancement, A |
| Quantitative evaluation of margin sharpness of pulmonary | nodule | s in lung CT images |
| 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 | nodule | s from x-ray ct images using 3d markov random field models |
| Reduction of false positives in lung | nodule | detection using a two-level neural classification |
| Reliable Lung Segmentation Methodology by Including Juxtapleural | nodule | s |
| Residual Networks for Pulmonary | nodule | Segmentation and Texture Characterization |
| Robust Anisotropic Gaussian Fitting for Volumetric Characterization of Pulmonary | nodule | s in Multislice CT |
| SANet: A Slice-Aware Network for Pulmonary | nodule | Detection |
| SAtUNet: Series atrous convolution enhanced U-Net for lung | nodule | segmentation |
| Segmentation and classification of ground glass | nodule | on CT images |
| Segmentation of Pulmonary | nodule | s in Thoracic CT Scans: A Region Growing Approach |
| Segmentation of the pulmonary | nodule | and the attached vessels in the CT scan of the chest using morphological features and topological skeleton of the nodule |
| Segmentation of the pulmonary | nodule | and the attached vessels in the CT scan of the chest using morphological features and topological skeleton of the nodule |
| Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary | nodule | s in Chest CT Images |
| Semi-Supervised Thyroid | nodule | Detection in Ultrasound Videos |
| Semivariogram and SGLDM Methods Comparison for the Diagnosis of Solitary Lung | nodule | |
| serialized classification method for pulmonary | nodule | s based on lightweight cascaded convolutional neural network-long short-term memory, A |
| Shape based region growing using derivatives of 3D medical images: application to semi-automated detection of pulmonary | nodule | s |
| Small | nodule | s Localization on CT Images of Lungs |
| Spatial Pyramid Dilated Network for Pulmonary | nodule | Malignancy Classification |
| Statistical modeling of the lung | nodule | s in low dose computed tomography scans of the chest |
| Stratified learning of local anatomical context for lung | nodule | s in CT images |
| Supervised enhancement of lung | nodule | s 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 | nodule | s in Helical CT |
| Surrounding Structures Analysis of Pulmonary | nodule | s Using Differential Geometry Based Vector Fields |
| Synthesizing Diverse Lung | nodule | s 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-Based Probabilistic Approach for Lung | nodule | Segmentation, A |
| Three-dimensional CT image retrieval in a database of pulmonary | nodule | s |
| Three-dimensional segmentation and growth-rate estimation of small pulmonary | nodule | s in helical CT images |
| Thyroid | nodule | s classification and diagnosis in ultrasound images using fine-tuning deep convolutional neural network |
| UniToChest: A Lung Image Dataset for Segmentation of Cancerous | nodule | s on CT Scans |
| Variable Background Active Contour Model for Automatic Detection of Thyroid | nodule | s in Ultrasound Images, A |
| Variational approach for segmentation of lung | nodule | s |
| Vessel Tree Reconstruction in Thoracic CT Scans With Application to | nodule | Detection |
| Volumetric lung | nodule | segmentation in thoracic CT scan using freehand sketch |
| weakly supervised deep active contour model for | nodule | segmentation in thyroid ultrasound images, A |
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