Fully automatic HER2 tissue segmentation for interpretable HER2 scoring

Fully automatic HER2 tissue segmentation for interpretable HER2 scoring

Breast cancer is the most common cancer in women, with HER2 (human epidermal growth factor receptor 2) overexpression playing a critical role in regulating cell growth and division. HER2 status, assessed according to established scoring guidelines, offers important information for treatment selectio...

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Bibliographic Details
Main Authors: Mathias Öttl, Jana Steenpass, Frauke Wilm, Jingna Qiu, Matthias Rübner, Corinna Lang-Schwarz, Cecilia Taverna, Francesca Tava, Arndt Hartmann, Hanna Huebner, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Journal of Pathology Informatics
Subjects:
HER2
Histopathology
Deep learning
Semantic segmentation
HER2 scoring
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353925000203
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