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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/transpath-transformer-based-self-supervised-learning-for-histopathological-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiyue Wang,Sen Yang,Jun Zhang,Minghui Wang,Jing Zhang,Junzhou Huang,Wei Yang,Xiao Han |
| Citations | 140 |
| DOI | 10.1007/978-3-030-87237-3_18 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://figshare.com/articles/conference_contribution/TransPath_Transformer-Based_Self-supervised_Learning_for_Histopathological_Image_Classification/20581524 |
| OpenAlex ID | https://openalex.org/W3203168750 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Sen Yang](https://scholariq.org/researchers/sen-yang/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Cervical Cancer and HPV Research](https://scholariq.org/topics/cervical-cancer-and-hpv-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.