# Vision based Detection and Categorization of Skin lesions using Deep Learning Neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/vision-based-detection-and-categorization-of-skin-lesions-using-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | V. Srividhya,K. Sujatha,R.S. Ponmagal,G. Durgadevi,L. Madheshwaran,V. |
| Citations | 46 |
| DOI | 10.1016/j.procs.2020.04.185 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050920311662/pdf |
| OpenAlex ID | https://openalex.org/W3033302956 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [R.S. Ponmagal](https://scholariq.org/researchers/r-s-ponmagal/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)
- [Optical Coherence Tomography Applications](https://scholariq.org/topics/optical-coherence-tomography-applications/)

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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.