Related references
Note: Only part of the references are listed.Preparing Medical Imaging Data for Machine Learning
Martin J. Willemink et al.
RADIOLOGY (2020)
Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs
Ju Gang Nam et al.
RADIOLOGY (2019)
Unsupervised abnormality detection through mixed structure regularization (MSR) in deep sparse autoencoders
Moti Freiman et al.
MEDICAL PHYSICS (2019)
Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs
Eui Jin Hwang et al.
CLINICAL INFECTIOUS DISEASES (2019)
Unsupervised pathology detection in medical images using conditional variational autoencoders
Hristina Uzunova et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2019)
Deep Adversarial One-Class Learning for Normal and Abnormal Chest Radiograph Classification
Yu-Xing Tang et al.
MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS (2019)
Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs
Eui Jin Hwang et al.
JAMA NETWORK OPEN (2019)
Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia
George Shih et al.
RADIOLOGY-ARTIFICIAL INTELLIGENCE (2019)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
Thomas Schlegl et al.
INFORMATION PROCESSING IN MEDICAL IMAGING (IPMI 2017) (2017)
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)