# Deep Learning Approach for Medical Image Analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-approach-for-medical-image-analysis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Adekanmi Adeyinka Adegun,Serestina Viriri,Roseline Oluwaseun Ogundokun |
| Citations | 52 |
| DOI | 10.1155/2021/6215281 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://downloads.hindawi.com/journals/cin/2021/6215281.pdf |
| OpenAlex ID | https://openalex.org/W3163615921 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Adekanmi Adeyinka Adegun](https://scholariq.org/researchers/adekanmi-adeyinka-adegun/)

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

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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.