CNN stability training improves robustness to scanner and IHC-based image variability for epithelium segmentation in cervical histology.

Felipe Miranda Ruiz,Bernd Lahrmann,Liam Bartels,Alexandra Krauthoff,Andreas Keil,Steffen Härtel, Amy S Tao,Philipp Ströbel,Megan A Clarke,Nicolas Wentzensen,Niels Grabe

Frontiers in medicine（2023）

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摘要

CST offers a path to improve CNN performance without the need for more data and allows customizing distortions to specific use cases. A python implementation of CST is publicly available at https://github.com/TIGACenter/CST_v1.

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关键词

digital pathology, deep learning, robustness, image variability, stability training, cervical intraepithelial neoplasia

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