Generative and contrastive based self-supervised learning model for histopathology image analysis

Author:

Chu Hongbo1ORCID,Li Fang2ORCID,He Yonghong2ORCID,Guan Tian2ORCID

Affiliation:

1. Beijing University of technology, China

2. Tsinghua University, China

Publisher

ACM

Reference33 articles.

1. Hangbo Bao , Li Dong , and Furu Wei . 2021 . Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021). Hangbo Bao, Li Dong, and Furu Wei. 2021. Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021).

2. Deep Clustering for Unsupervised Learning of Visual Features

3. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597–1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597–1607.

4. ImageNet: A large-scale hierarchical image database

5. Laurent Dinh , David Krueger , and Yoshua Bengio . 2014 . Nice: Non-linear independent components estimation. arXiv preprint arXiv:1410.8516 (2014). Laurent Dinh, David Krueger, and Yoshua Bengio. 2014. Nice: Non-linear independent components estimation. arXiv preprint arXiv:1410.8516 (2014).

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