Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images

11 October 2016

Papers citing "Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images"

6 / 6 papers shown

Title
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 733 36,781 0 25 Aug 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 703 37,843 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images M. Veta P. Diest S. Willems Haibo Wang A. Madabhushi ... Nasir M. Rajpoot E. Arkoumani M. Laclé M. Viergever J. Pluim 59 429 0 21 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 436 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014