# Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multiclass-skin-lesion-classification-using-hybrid-deep-features-selection-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Farhat Afza,Muhammad Sharif,Muhammad Attique Khan,Usman Tariq,Hwan-Seung Yong,Jaehyuk Cha |
| Citations | 161 |
| DOI | 10.3390/s22030799 |
| Fields | Biochemistry, Genetics and Molecular Biology,Engineering,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/22/3/799/pdf?version=1642761159 |
| OpenAlex ID | https://openalex.org/W4206986224 |
| PMID | 35161553 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Usman Tariq](https://scholariq.org/researchers/usman-tariq/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## 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/)
- [Spectroscopy Techniques in Biomedical and Chemical Research](https://scholariq.org/topics/spectroscopy-techniques-in-biomedical-and-chemical-research/)
- [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.