MiNuGAN: Dual Segmentation of Mitoses and Nuclei Using Conditional GANs on Multi-center Breast H&E Images

MiNuGAN: Dual Segmentation of Mitoses and Nuclei Using Conditional GANs on Multi-center Breast H&E Images

Breast cancer is the second most commonly diagnosed type of cancer among women as of 2021. Grading of histopathological images is used to guide breast cancer treatment decisions and a critical component of this is a mitotic score, which is related to tumor aggressiveness. Manual mitosis counting is...

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Bibliographic Details
Main Authors: Salar Razavi, Fariba D. Khameneh, Hana Nouri, Dimitrios Androutsos, Susan J. Done, April Khademi
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Journal of Pathology Informatics
Subjects:
Mitosis detection
Semantic segmentation
Generative adversarial network
Breast cancer
Focal loss
Computer-aided detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2153353922000025

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http://www.sciencedirect.com/science/article/pii/S2153353922000025

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