# HEAL: an automated deep learning framework for cancer histopathology image analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/heal-an-automated-deep-learning-framework-for-cancer-histopathology-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yanan Wang,Nicolas Coudray,Yun Zhao,Fuyi Li,Changyuan Hu,Yaozhong Zhang,Seiya Imoto,Aristotelis Tsirigos,Geoffrey I. Webb,Roger J. Daly,Jiangning Song |
| Citations | 31 |
| DOI | 10.1093/bioinformatics/btab380 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3160859670 |
| PMID | 34009289 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Yun Zhao](https://scholariq.org/researchers/yun-zhao-2/)

## 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/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)

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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.