# Deep learning to find colorectal polyps in colonoscopy: A systematic literature review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-to-find-colorectal-polyps-in-colonoscopy-a-systematic-literature/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Luisa F. Sánchez‐Peralta,Luis Bote-Curiel,Artzai Picón,Francisco M. Sánchez‐Margallo,J. Blas Pagador |
| Citations | 173 |
| DOI | 10.1016/j.artmed.2020.101923 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S0933365719307493/pdf |
| OpenAlex ID | https://openalex.org/W3046792513 |
| PMID | 32972656 |
| Type | review |
| Year | 2020 |

## Paper authors

- [Artzai Picón](https://scholariq.org/researchers/artzai-picon/)

## Paper journal

- [Artificial Intelligence in Medicine](https://scholariq.org/journals/artificial-intelligence-in-medicine/)

## Paper primary topic

- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)

## Paper topics

- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.