# Deep Learning-Based System for Automatic Melanoma Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-system-for-automatic-melanoma-detection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Adekanmi Adeyinka Adegun,Serestina Viriri |
| Citations | 223 |
| DOI | 10.1109/access.2019.2962812 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1109/access.2019.2962812 |
| OpenAlex ID | https://openalex.org/W2998401283 |
| Type | article |
| Year | 2019 |

## Paper authors

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

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)

## Paper topics

- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

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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.