April 15, 2024, 4:42 a.m. | MingXuan Xiao, Yufeng Li, Xu Yan, Min Gao, Weimin Wang

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.08279v1 Announce Type: cross
Abstract: Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis often relies on the pathology of cells in the lesion. The pathological diagnosis of breast cancer not only requires professionals and time, but also sometimes involves subjective judgment. To address the challenges of dependence on pathologists expertise and the time-consuming nature of achieving accurate breast pathological image classification, this paper introduces an approach utilizing convolutional neural networks (CNNs) for the rapid categorization of …

abstract arxiv cancer cells classification convolutional neural network cs.cv cs.lg diagnosis eess.iv example images judgment network neural network pathology professionals type

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