Aug 23, 2022 · We propose a new augmentation called PatchShuffling and a novel self-supervised contrastive learning framework named IMPaSh for pre-training deep learning ...
Feb 18, 2023 · We propose a new augmentation called PatchShuffling and a novel self-supervised contrastive learning framework named IMPaSh for pre-training deep learning ...
A novel domain-shift resistant representation for colorectal cancer tissue classification by Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, ...
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. February 2023. DOI:10.1007/978-3-031-25066-8_31. In book ...
Aug 23, 2022 · IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification ; Trinh Vuong at Korea University · Trinh Vuong.
Aug 16, 2023 · IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. T. Vuong, Q. Vu, M. Jahanifar, S. Graham ...
2023. IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. TTL Vuong, QD Vu, M Jahanifar, S Graham, JT Kwak, N ...
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IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification ... tissue images are two common tasks in tissue image ...
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IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification ... colorectal cancer · no code implementations • 23 Jan ...