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Self-supervised learning (SSL) enables learning useful inductive biases through utilizing pretext tasks that require no labels.
Histological stains: a literature review and case study
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Unsupervised learning of visual representations by solving jigsaw puzzles
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Context encoders: Feature learning by inpainting
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Structure-preserving color normalization and sparse stain separation for histological images
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Split-brain autoencoders: Unsupervised learning by cross-channel prediction
Richard Zhang, Phillip Isola, and Alexei A Efros · 2017
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Spyros Gidaris, Praveer Singh, and Nikos Komodakis · 2018
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Transpath: Transformer-based self-supervised learning for histopathological image classification
Xiyue Wang, Sen Yang, Jun Zhang, Minghui Wang, Jing Zhang, Junzhou Huang, Wei Yang, and Xiao Han · 2021
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Self-supervised visual representation learning for histopathological images
Pengshuai Yang, Zhiwei Hong, Xiaoxu Yin, Chengzhan Zhu, and Rui Jiang · 2021
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Multimae: Multi-modal multi-task masked autoencoders
Roman Bachmann, David Mizrahi, Andrei Atanov, and Amir Zamir · 2022
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Self-supervised vision transformers learn visual concepts in histopathology
Richard J Chen and Rahul G Krishnan · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Learning representations with contrastive self-supervised learning for histopathology applications
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