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arXiv · 1909.04141

Detection and Classification of Breast Cancer Metastates Based on U-Net

Lin Xu·Cheng Xu·Yi Tong·Yu Chun Su
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Abstract

This paper presents U-net based breast cancer metastases detection and classification in lymph nodes, as well as patient-level classification based on metastases detection. The whole pipeline can be divided into five steps: preprocessing and data argumentation, patch-based segmentation, post processing, slide-level classification, and patient-level classification. In order to reduce overfitting and speedup convergence, we applied batch normalization and dropout into U-Net. The final Kappa score reaches 0.902 on training data.

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Lin Xu, Cheng Xu, Yi Tong, Yu Chun Su. 2019-09-09. Detection and Classification of Breast Cancer Metastates Based on U-Net. https://arxiv.org/abs/1909.04141

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