Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Ehteshami Bejnordi, Babak; Veta, Mitko; Johannes van Diest, Paul; van Ginneken, Bram; Karssemeijer, Nico; Litjens, Geert; van der Laak, Jeroen; Hermsen, Meyke; F. Manson, Quirine; Balkenhol, Maschenka; Geessink, Oscar; Stathonikos, Nikolas; CRF van Dijk, Marcory; Bult, Peter; Beça, Francisco; H. Beck, Andrew; Wang, Dayong; Khosla, Aditya; Gargeya, Rishab; Irshad, Humayun; Zhong, Aoxiao; Dou, Qi; Li, Quanzheng; Chen, Hao; Lin, Huangjing; Heng, Pheng‐Ann; Haß, Christian; Bruni, Elia; K. Wong, Q.; Halıcı, Uğur; Ümit Öner, Mustafa; Çetin-Atalay, Rengül; Berseth, Matt; Khvatkov, Vitali; Vylegzhanin, Alexei; Kraus, Oren; Shaban, Muhammad; Rajpoot, Nasir; Awan, Ruqayya; Sirinukunwattana, Korsuk; Qaiser, Talha; Tsang, Yee‐Wah; Tellez, David; Annuscheit, Jonas; Hufnagl, Peter; Valkonen, Mira; Kartasalo, Kimmo; Latonen, Leena; Ruusuvuori, Pekka; Liimatainen, Kaisa; Albarqouni, Shadi; Mungal, Bharti; George, Ami; Demirci, Stefanie; Navab, Nassir; Watanabe, Seiryo; Seno, Shigeto; Takenaka, Yoichi; Matsuda, Hideo; Ahmady Phoulady, Hady; Kovalev, Vassili; Kalinovsky, Alexander; Liauchuk, Vitali; Bueno, Gloria; Milagro Fernández-Carrobles, M.; Serrano, Ismael; Déniz, Óscar; Racoceanu, Daniel; Venâncio, Rui

doi:10.1001/jama.2017.14585

Public

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

Published in JAMA • Dec 12, 2017

Authors:

Babak Ehteshami Bejnordi

Mitko Veta

Paul Johannes van Diest

Abstract

Importance: Application of deep learning algorithms to whole-slide pathology images can potentially improve diagnostic accuracy and efficiency. Objective: Assess the performance of automated deep learning algorithms at detecting metastases in hematoxylin and eosin-stained tissue sections of lymph no...

Subject

Medicine

Lymph node

Algorithm

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