Human-interpretable features derived from breast cancer pathology slides detect BRCA1/2 gene mutations

Yi Li, Xiaomin Xiong, Xiaohua Liu, Lin Chen, Bo Lin, Bo Xu. Human-interpretable features derived from breast cancer pathology slides detect BRCA1/2 gene mutations. In Jihe Wang, Yi He 0007, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz, editors, IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. pages 288-293, IEEE, 2023. [doi]

Abstract

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