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

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 nod...

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Bibliographic Details

Published in:	JAMA: Journal of the American Medical Association Vol. 318; no. 22; pp. 2199 - 2211
Main Authors:	Bejnordi, Babak Ehteshami, Veta, Mitko, van Diest, Paul Johannes, van Ginneken, Bram, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen A. W. M., Ehteshami Bejnordi, Babak, Johannes van Diest, Paul, Hermsen, Meyke, Manson, Quirine F, Balkenhol, Maschenka, Geessink, Oscar, Stathonikos, Nikolaos, van Dijk, Marcory Crf, Bult, Peter, Beca, Francisco, Beck, Andrew H, Wang, Dayong, Khosla, Aditya
Format:	research Journal Article
Published:	American Medical Association 12/12/2017
Online Access:	View this record in EBSCOhost