# A multilevel features selection framework for skin lesion classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-multilevel-features-selection-framework-for-skin-lesion-classification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tallha Akram,Hafiz Muhammad Junaid Lodhi,Syed Rameez Naqvi,Sidra Naeem,Majed Alhaisoni,Muhammad Junaid Ali,Sajjad Haider,Nadia N. Qadri |
| Citations | 95 |
| DOI | 10.1186/s13673-020-00216-y |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://hcis-journal.springeropen.com/track/pdf/10.1186/s13673-020-00216-y |
| OpenAlex ID | https://openalex.org/W3022365663 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Majed Alhaisoni](https://scholariq.org/researchers/majed-alhaisoni/)

## 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/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.