Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge-Reference-Cited by-同舟云学术

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

Published:2019-05 Issue: Volume:54 Page:111-121
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Veta Mitko,Heng Yujing J.^ORCID,Stathonikos Nikolas^ORCID,Bejnordi Babak Ehteshami,Beca Francisco^ORCID,Wollmann Thomas^ORCID,Rohr Karl,Shah Manan A.,Wang Dayong,Rousson Mikael,Hedlund Martin,Tellez David,Ciompi Francesco,Zerhouni Erwan,Lanyi David,Viana Matheus,Kovalev Vassili,Liauchuk Vitali,Phoulady Hady Ahmady^ORCID,Qaiser Talha^ORCID,Graham Simon,Rajpoot Nasir,Sjöblom Erik,Molin Jesper,Paeng Kyunghyun,Hwang Sangheum,Park Sunggyun,Jia Zhipeng,Chang Eric I-Chao,Xu Yan,Beck Andrew H.,van Diest Paul J.,Pluim Josien P.W.

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference38 articles.

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