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

BackgroundIn digital pathology, image properties such as color, brightness, contrast and blurriness may vary based on the scanner and sample preparation. Convolutional Neural Networks (CNNs) are sensitive to these variations and may underperform on images from a different domain than the one used fo...

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Principais autores:	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
格式:	Artigo
語言:	Inglês
出版:	Frontiers Media S.A. 2023-07-01
叢編:	Frontiers in Medicine
主題:	digital pathology deep learning robustness image variability stability training cervical intraepithelial neoplasia
在線閱讀:	https://www.frontiersin.org/articles/10.3389/fmed.2023.1173616/full
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