A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading

21 December 2017

Papers citing "A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading"

19 / 19 papers shown

Title
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification Wentao Zhu Chaochun Liu Wei Fan Xiaohui Xie MedIm 42 378 0 25 Jan 2018
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks Wenjie Luo Yujia Li R. Urtasun R. Zemel HAI 81 1,793 0 15 Jan 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 352 14,223 0 23 Feb 2016
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 195 732 0 12 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 717 27,303 0 02 Dec 2015
On the Expressive Power of Deep Learning: A Tensor Analysis Nadav Cohen Or Sharir Amnon Shashua 79 470 0 16 Sep 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 419 43,234 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 280 18,587 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 401 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 222 16,336 0 30 Apr 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks P. Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun ObjD 149 5,004 0 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 283 7,279 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 486 15,861 0 12 Nov 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 224 12,422 0 24 Jun 2012
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition D. Ciresan U. Meier L. Gambardella Jürgen Schmidhuber 109 992 0 01 Mar 2010
How to Explain Individual Classification Decisions D. Baehrens T. Schroeter Stefan Harmeling M. Kawanabe K. Hansen K. Müller FAtt 126 1,102 0 06 Dec 2009