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Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Babak Ehteshami Bejnordi ,
Mitko Veta ,
Paul Johannes van Diest ,
Bram van Ginneken ,
Nico Karssemeijer ,
Geert Litjens ,
Jeroen A. W. M. van der Laak
1 ,
Meyke Hermsen ,
Quirine F Manson ,
Maschenka Balkenhol ,
Oscar Geessink ,
Nikolaos Stathonikos ,
Marcory CRF van Dijk ,
Peter Bult ,
Francisco Beca ,
Andrew H Beck ,
Dayong Wang ,
Aditya Khosla ,
Rishab Gargeya ,
Humayun Irshad ,
Aoxiao Zhong ,
Qi Dou ,
Quanzheng Li ,
Hao Chen ,
Huang-Jing Lin ,
Pheng-Ann Heng ,
Christian Haß ,
Elia Bruni ,
Quincy Wong ,
Ugur Halici ,
Mustafa Ümit Öner ,
Rengul Cetin-Atalay ,
Matt Berseth ,
Vitali Khvatkov ,
Alexei Vylegzhanin ,
Oren Kraus ,
Muhammad Shaban ,
Nasir Rajpoot ,
Ruqayya Awan ,
Korsuk Sirinukunwattana ,
Talha Qaiser ,
Yee-Wah Tsang ,
David Tellez ,
Jonas Annuscheit ,
Peter Hufnagl ,
Mira Valkonen ,
Kimmo Kartasalo ,
Leena Latonen ,
Pekka Ruusuvuori ,
Kaisa Liimatainen ,
Shadi Albarqouni ,
Bharti Mungal ,
Ami George ,
Stefanie Demirci ,
Nassir Navab ,
Seiryo Watanabe ,
Shigeto Seno ,
Yoichi Takenaka ,
Hideo Matsuda ,
Hady Ahmady Phoulady ,
Vassili Kovalev ,
Alexander Kalinovsky ,
Vitali Liauchuk ,
Gloria Bueno ,
M. Milagro Fernandez-Carrobles ,
Ismael Serrano ,
Oscar Deniz ,
Daniel Racoceanu ,
Rui Venâncio
December 12 2017
December 12 2017
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Abstract
Application of deep learning algorithms to whole-slide pathology images can potentially
improve diagnostic accuracy and efficiency.
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