# A Deep Learning Approach Based on Explainable Artificial Intelligence for Skin Lesion Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-approach-based-on-explainable-artificial-intelligence-for-skin/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Natasha Nigar,Muhammad Umar,Muhammad Kashif Shahzad,Shahid Islam,Douhadji Abalo |
| Citations | 161 |
| DOI | 10.1109/access.2022.3217217 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09930511.pdf |
| OpenAlex ID | https://openalex.org/W4312251513 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Muhammad Kashif Shahzad](https://scholariq.org/researchers/muhammad-kashif-shahzad/)

## 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/)
- [Nonmelanoma Skin Cancer Studies](https://scholariq.org/topics/nonmelanoma-skin-cancer-studies/)

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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.