Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses

Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses

Abstract Background The mitotic count in breast carcinoma is an important prognostic marker. Unfortunately substantial inter- and intra-laboratory variation exists when pathologists manually count mitotic figures. Artificial intelligence (AI) coupled with whole slide imaging offers a potential solut...

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Bibliographic Details
Main Authors: Liron Pantanowitz, Douglas Hartman, Yan Qi, Eun Yoon Cho, Beomseok Suh, Kyunghyun Paeng, Rajiv Dhir, Pamela Michelow, Scott Hazelhurst, Sang Yong Song, Soo Youn Cho
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Diagnostic Pathology
Subjects:
Artificial intelligence
Breast
Carcinoma
Counting
Tumor grade
Digital pathology
Online Access:http://link.springer.com/article/10.1186/s13000-020-00995-z

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http://link.springer.com/article/10.1186/s13000-020-00995-z

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