| _ | malignancy | _ |
|---|
| Analysis and classification of | malignancy | in pancreatic magnetic resonance images using neural network techniques |
| Analysis of directional patterns of lung nodules in computerized tomography using Getis statistics and their accumulated forms as | malignancy | and benignity indicators |
| bag-of-features approach for | malignancy | detection in breast histopathology images, A |
| Classification of Lung Nodule | malignancy | Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies |
| Classification of patterns of benignity and | malignancy | based on CT using topology-based phylogenetic diversity index and convolutional neural network |
| computed tomography signs quantization analysis method for pulmonary nodules | malignancy | grading, A |
| Correlated and individual feature learning with contrast-enhanced MR for | malignancy | characterization of hepatocellular carcinoma |
| Deep Convolutional Neural Networks for Detecting Cellular Changes Due to | malignancy | |
| Discrepancy Steered Conditional Adversarial Network For Deep Feature Based | malignancy | Characterization of Hepatocellular Carcinoma |
| Early detection of breast | malignancy | using wavelet features and optimized classifier |
| eFis: A Fuzzy Inference Method for Predicting | malignancy | of Small Pulmonary Nodules |
| Electrical impedance spectroscopy (EIS) in the urinary bladder: the effect of inflammation and edema on identification of | malignancy | |
| Estimation of interlayer textural relationships to discriminate the benignancy/ | malignancy | of brain tumors |
| Investigation of Deep Learning for Lesions | malignancy | Classification in Breast DCE-MRI, An |
| Learning From Ambiguous Labels for Lung Nodule | malignancy | Prediction |
| Lung Nodule | malignancy | Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge |
| Lung Nodule | malignancy | Subtype Discovery with Semantic Learning |
| malignancy | characterization of hepatocellular carcinoma using hybrid texture and deep features |
| malignancy | detection on mammograms by integrating modified convolutional neural network classifier and texture features |
| MIXCAPS: A capsule network-based mixture of experts for lung nodule | malignancy | prediction |
| Multi-crop Convolutional Neural Networks for lung nodule | malignancy | suspiciousness classification |
| Oversampling Methods for Classification of Imbalanced Breast Cancer | malignancy | Data |
| Skin Lesion Feature Vector Space with a Metric to Model Geometric Structures of | malignancy | for Classification |
| Spatial Pyramid Dilated Network for Pulmonary Nodule | malignancy | Classification |
| Structural Texture Approach for Characterising | malignancy | Associated Changes in Pap Smears Based on Mean-Shift and the Watershed Transform, A |
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| _ | malignant | _ |
|---|
| Analysis of Properties of | malignant | Cases for Imbalanced Breast Thermogram Feature Classification, An |
| Appearance-based diagnostic system for early assessment of | malignant | lung nodules |
| Automatic benign and | malignant | classification of pulmonary nodules in thoracic computed tomography based on RF algorithm |
| Automatic detection of | malignant | prostatic gland units in cross-sectional microscopic images |
| Automatic detection of | malignant | tumors on mammogram |
| Border Irregularity Measure Using a Modified Conditional Entropy Method as a | malignant | Melanoma Predictor, A |
| Characterization of Primary and Secondary | malignant | Liver Lesions from B-Mode Ultrasound |
| Classification of Benign and | malignant | Breast Tumors by 2-D Analysis Based on Contour Description and Scatterer Characterization |
| Classification of Breast Micro-calcifications as Benign or | malignant | Using Subtraction of Temporally Sequential Digital Mammograms and Machine Learning |
| Classification of | malignant | and benign masses based on hybrid ART2LDA approach |
| Classification of | malignant | melanoma and benign skin lesions: implementation of automatic ABCD rule |
| Classifications of benign and | malignant | mammogram images using Gabor-modified CNN architecture |
| Complementary features for radiomic analysis of | malignant | and benign mediastinal lymph nodes |
| Computer-Aided Diagnostic Scheme for Distinction Between Benign and | malignant | Nodules in Thoracic Low-Dose CT by Use of Massive Training Artificial Neural Network |
| Computer-aided mammography classification of | malignant | mass regions and normal regions based on novel texton features |
| Computerized detection of | malignant | tumors on digital mammograms |
| Deep Learning-Based Classification of | malignant | and Benign Cells in Dermatoscopic Images via Transfer Learning Approach |
| Despeckle Filtering: Performance Evaluation for | malignant | Focal Hepatic Lesions |
| Detection of Micro-calcification to Characterize | malignant | Breast Lesion |
| DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric | malignant | Tumors |
| Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of | malignant | Cases |
| Identification of | malignant | Breast Tumors Based on Acoustic Attenuation Mapping of Conventional Ultrasound Images |
| Image Analysis Approach for Detecting | malignant | Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma, An |
| Improvement of Benign and | malignant | Probability Detection Based on Non-subsample Contourlet Transform and Super-resolution |
| Improving the Discrimination of Benign and | malignant | Breast MRI Lesions Using the Apparent Diffusion Coefficient |
| Interactive pattern recognition of blood cells in | malignant | lymphomas |
| 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 |
| Local and Global Feature Disentangled Network: Toward Classification of Benign- | malignant | Thyroid Nodules From Ultrasound Image, A |
| Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and | malignant | BI-RADS 4 lesions |
| malignant | Brain Tumor Classification Using the Random Forest Method |
| malignant | melanoma dermoscopy image classification method based on multi-modal medical features |
| Non-dermatoscopic Image Analysis for the Recognition of | malignant | Skin Diseases with Convolutional Neural Network and Autoencoders |
| novel classification system for dysplastic nevus and | malignant | melanoma, A |
| Observer Efficiency in Discrimination Tasks Simulating | malignant | and Benign Breast Lesions Imaged With Ultrasound |
| 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 |
| Semi-Supervised Deep Transfer Learning for Benign- | malignant | Diagnosis of Pulmonary Nodules in Chest CT Images |
| Semivariogram Applied for Classification of Benign and | malignant | Tissues in Mammography |
| SKINcure: A real time image analysis system to aid in the | malignant | melanoma prevention and early detection |
| Study on Several Machine-Learning Methods for Classification of | malignant | and Benign Clustered Microcalcifications, A |
| Unsupervised | malignant | mammographic breast mass segmentation algorithm based on pickard Markov random field |
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