Visualizing “featureless” regions on mammograms classified as invasive ductal carcinomas by a deep learning algorithm: the promise of AI support in radiology

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman · arXiv (Cornell University) · 2014 · 75.5K citations · Full text

Computing, Computer Science, Computer Vision +11

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das et al. · 2017 · 21.6K citations

Computing, Computer Science, Computer Vision +16

Mastering the game of Go with deep neural networks and tree search

David Silver, Aja Huang, Chris J. Maddison et al. · Nature · 2016 · 15.8K citations

Computing, Computer Science, Algorithms +10

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

Gary S. Collins, Johannes B. Reitsma, Douglas G. Altman et al. · BMJ · 2015 · 4K citations · Full text

Computing, Internal Medicine, Clinical Decision Support +16

Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features

Wenjuan Ma, Yumei Zhao, Yu Ji et al. · Academic Radiology · 2018 · 142 citations · Full text

Medicine, Oncology, Radiology +14