# RvXmBlendNet: A Multi-architecture Hybrid Model for Improved Skin Cancer Detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/rvxmblendnet-a-multi-architecture-hybrid-model-for-improved-skin-cancer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Farida Siddiqi Prity,Ahmed Jabid Hasan,Md Mehedi Hassan Anik,Rakib Hossain,Md. Maruf Hossain,Sazzad Hossain Bhuiyan,Md. Ariful Islam,Md Tousif Hasan Lavlu |
| Citations | 12 |
| DOI | 10.1007/s44230-024-00083-1 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://link.springer.com/content/pdf/10.1007/s44230-024-00083-1.pdf |
| OpenAlex ID | https://openalex.org/W4402355523 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Md Mehedi Hassan Anik](https://scholariq.org/researchers/md-mehedi-hassan-anik/)

## Paper journal

- [Human-Centric Intelligent Systems](https://scholariq.org/journals/human-centric-intelligent-systems/)

## 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.