# Deep learning for colon cancer histopathological images analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-colon-cancer-histopathological-images-analysis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amina Ben Hamida,Maxime Devanne,Jonathan Weber,Caroline Truntzer,Valentin Dérangère,François Ghiringhelli,Germain Forestier,Cédric Wemmert |
| Citations | 242 |
| DOI | 10.1016/j.compbiomed.2021.104730 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://hal.science/hal-03321646/document |
| OpenAlex ID | https://openalex.org/W3191219235 |
| PMID | 34375901 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Jonathan Weber](https://scholariq.org/researchers/jonathan-weber/)
- [Germain Forestier](https://scholariq.org/researchers/germain-forestier/)

## 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/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.