Web: http://arxiv.org/abs/2204.08311

May 11, 2022, 1:10 a.m. | Yuchao Zheng, Chen Li, Xiaomin Zhou, Haoyuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

cs.CV updates on arXiv.org arxiv.org

Background: Breast cancer has the highest prevalence in women globally. The
classification and diagnosis of breast cancer and its histopathological images
have always been a hot spot of clinical concern. In Computer-Aided Diagnosis
(CAD), traditional classification models mostly use a single network to extract
features, which has significant limitations. On the other hand, many networks
are trained and optimized on patient-level datasets, ignoring the application
of lower-level data labels.


Method: This paper proposes a deep ensemble model based on image-level …

application arxiv classification cv ensemble image learning transfer transfer learning

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