Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow

Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow

Introduction: Breast cancer (BC) prognosis is largely influenced by histopathological grade, assessed according to the Nottingham modification of Bloom-Richardson (BR). Mitotic count (MC) is a component of histopathological grading but is prone to subjectivity. This study investigated whether mitose...

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Bibliographic Details
Main Authors: Stijn A. van Bergeijk, Nikolas Stathonikos, Natalie D. ter Hoeve, Maxime W. Lafarge, Tri Q. Nguyen, Paul J. van Diest, Mitko Veta
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Journal of Pathology Informatics
Subjects:
Breast cancer
Artificial intelligence
Digital pathology
Light microscopy
Bloom & Richardson grade
Mitotic index
Online Access:http://www.sciencedirect.com/science/article/pii/S215335392300130X

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http://www.sciencedirect.com/science/article/pii/S215335392300130X

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