Global contrast-masked autoencoders are powerful pathological representation learners

Author:

Quan Hao,Li Xingyu,Chen Weixing,Bai Qun,Zou Mingchen,Yang Ruijie,Zheng Tingting,Qi Ruiqun,Gao Xinghua,Cui Xiaoyu

Funder

Department of Science and Technology of Liaoning Province

National High-tech Research and Development Program

Liaoning Provincial Natural Science Foundation

Publisher

Elsevier BV

Reference42 articles.

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3. D. Wang, A. Khosla, R. Gargeya, H. Irshad, A.H. Beck, Deep learning for identifying metastatic breast cancer, arXiv preprint arXiv:1606.05718, (2016) .

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5. Data-efficient and weakly supervised computational pathology on whole-slide images;Lu;Nat. Biomed. Eng.,2021

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