Related references
Note: Only part of the references are listed.The COVID-19 epidemic
Thirumalaisamy P. Velavan et al.
TROPICAL MEDICINE & INTERNATIONAL HEALTH (2020)
Overfitting and Use of Mismatched Cohorts in Deep Learning Models: Preventable Design Limitations
Srinivas R. Mummadi et al.
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2018)
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Daniel S. Kermany et al.
CELL (2018)
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
Guotai Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer
Wookjin Choi et al.
MEDICAL PHYSICS (2018)
Visual interpretability for deep learning: a survey
Quan-shi Zhang et al.
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING (2018)
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
Yang Yang et al.
FRONTIERS IN NEUROSCIENCE (2018)
Implementing Machine Learning in Radiology Practice and Research
Marc Kohli et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
Hayit Greenspan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
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)