Deep Learning for Identifying Metastatic Breast Cancer

18 June 2016

Papers citing "Deep Learning for Identifying Metastatic Breast Cancer"

23 / 73 papers shown

Title
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 30 972 0 14 Feb 2019
Learning a Generative Model of Cancer Metastasis Benjamin Kompa Beau Coker MedIm AI4CE 21 0 0 17 Jan 2019
Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer K. Nagpal Davis Foote Yun-Hui Liu Po-Hsuan Cameron Chen Chen ... A. Evans A. Sangoi C. Mermel J. Hipp Martin C. Stumpe 12 408 0 15 Nov 2018
Activation Functions: Comparison of trends in Practice and Research for Deep Learning S. Bodenstedt Dominik Rivoir A. Gachagan S. T. Mees 22 1,269 0 08 Nov 2018
Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations Mei Lin Vanya Jaitly Iris Wang Z. Hu Lei Chen M. A. Wahed Z. Kanaan A. Rios A. Nguyen 6 10 0 30 Oct 2018
Classifying Mammographic Breast Density by Residual Learning Jingxu Xu Cheng Li Yongjin Zhou Lisha Mou Hairong Zheng Shanshan Wang 25 11 0 21 Sep 2018
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis Tianle Ma A. Zhang 22 25 0 06 Sep 2018
Cancer Metastasis Detection With Neural Conditional Random Field Yi Li Ming-Yu Liu MedIm 19 100 0 19 Jun 2018
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer Byungjae Lee K. Paeng 24 55 0 30 May 2018
Classification of breast cancer histology images using transfer learning Sulaiman Vesal Nishant Ravikumar Amirabbas Davari S. Ellmann Andreas Maier 22 134 0 26 Feb 2018
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification Y. S. Vang Zhen Chen Xiaohui Xie 18 98 0 03 Feb 2018
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach P. Courtiol Eric W. Tramel Marc Sanselme G. Wainrib 26 116 0 01 Feb 2018
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning Yang Nan Gianmarc Coppola Q. Liang Kunlin Zou Wei Sun Dan Zhang Yaonan Wang Guanzhen Yu 23 7 0 20 Dec 2017
Neural Stain-Style Transfer Learning using GAN for Histopathological Images H. Cho Sungbin Lim Gunho Choi Hyun-Seok Min GAN MedIm 25 91 0 23 Oct 2017
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images M. Kumar Morteza Babaie Shujin Zhu Shivam Kalra H. R. Tizhoosh 21 86 0 27 Sep 2017
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography Li Shen L. Margolies J. Rothstein Eugene Fluder R. McBride W. Sieh MedIm 36 757 0 30 Aug 2017
Deep Learning-Based Communication Over the Air Sebastian Dörner Sebastian Cammerer J. Hoydis S. Brink 24 704 0 11 Jul 2017
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks M. Islam Md Abdul Aowal A. T. Minhaz Khalid Ashraf 41 188 0 27 May 2017
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images B. Bejnordi G. Zuidhof M. Balkenhol M. Hermsen P. Bult Bram van Ginneken N. Karssemeijer G. Litjens Jeroen van der Laak 37 161 0 10 May 2017
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks Thijs Kooi N. Karssemeijer 31 48 0 22 Mar 2017
Detecting Cancer Metastases on Gigapixel Pathology Images Yun-Hui Liu Krishna Gadepalli Mohammad Norouzi George E. Dahl Timo Kohlberger ... Phil Q. Nelson G. Corrado J. Hipp L. Peng Martin C. Stumpe MedIm LM&MA 20 638 0 03 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 340 10,633 0 19 Feb 2017
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans Yuyin Zhou Lingxi Xie Wei Shen Yan Wang Elliot K. Fishman Alan Yuille MedIm 41 36 0 25 Dec 2016