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TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification

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Wang, Xiyue, Yang, Sen, Zhang, Jun, Wang, Minghui, Zhang, Jing, Huang, Junzhou, Yang, Wei, Han, Xiao·2021·Lecture Notes in Computer Science

DOI 10.1007/978-3-030-87237-3_18

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Authors: Wang, X., Yang, S., Zhang, J., Wang, M., Zhang, J., Huang, J., Yang, W., & Han, X.
Affiliations: Sichuan University (CN)
Tencent (China) (CN)
Corresponding author: Zhang, Jun
Zhang, Jing
ORCID: Wang, Xiyue
Yang, Sen
Zhang, Jun
Wang, Minghui
Zhang, Jing
Huang, Junzhou
Yang, Wei
Han, Xiao
Venue: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Published: 2021
Pages: 186-195
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-030-87237-3_18
OpenAlex: W3203168750
Cited by: 178
References: 18
Citations by year: 2026: 17 · 2025: 42 · 2024: 45 · 2023: 49 · 2022: 23 · 2021: 2
FWCI: 13.75
Type: conference paper
Language: en
Open access: green
figshare.com
Licence: cc-by
www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Lecture notes in computer science (publishedVersion)
Figshare (submittedVersion, cc-by)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Keywords: histopathological image classification, self-supervised learning, vision transformer, CNN-Transformer hybrid, pre-training, limited annotations, local and global feature extraction, transfer learning

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