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Mitosis Detection in Breast Cancer Using Deep Learning

Published: 26 December 2023 Publication History

Abstract

Breast cancer is a common gynecological malignant tumor. At the same time, breast cancer is also a cancer that can be detected early and prevented early. Using efficient mitotic cell detection technology for breast cancer screening and diagnosis is significant. The application of computer-aided analysis technology to cell detection tasks in pathological medical images has gradually become a hot research direction. In this study, the object detection technique based on YOLO v5 was first applied to the field of mitotic cell detection in pathological breast images. Aiming at the three difficult problems cell detection faces in pathological breast images, this paper explores the influence of detection models on domain generalization from the perspective of image preprocessing. A series of experimental studies show that the color correction strategy based on CycleGAN adopted in this study applied to the YOLO v5 detection model can effectively improve the model's applicability on the external test set.

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  • (2024)Deep Learning-Based Mitosis Detection in Breast Cancer Histopathology Images: A Mapping Study2024 International Research Conference on Smart Computing and Systems Engineering (SCSE)10.1109/SCSE61872.2024.10550511(1-5)Online publication date: 4-Apr-2024

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    WSSE '23: Proceedings of the 2023 5th World Symposium on Software Engineering
    September 2023
    352 pages
    ISBN:9798400708053
    DOI:10.1145/3631991
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    Published: 26 December 2023

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    Author Tags

    1. Deep Learning
    2. Domain adaption
    3. Mitosis detection
    4. Object detection

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    • (2024)Deep Learning-Based Mitosis Detection in Breast Cancer Histopathology Images: A Mapping Study2024 International Research Conference on Smart Computing and Systems Engineering (SCSE)10.1109/SCSE61872.2024.10550511(1-5)Online publication date: 4-Apr-2024

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