Melanoma Skin Classification Using the Hybrid Approach Residual Network‐Vision Transformer for Cancer Diagnosis
The aim of this research is to equip clinicians with a robust tool for melanoma diagnosis by leveraging the strengths of two models within the ResNet50-ViT hybrid framework.
Authors
- Amadou Fousseyni Touré (ORCID: https://orcid.org/0000-0002-2399-9211)
- Samir Benbakreti (ORCID: https://orcid.org/0000-0001-6587-6626)
- Soumia Benbakreti (ORCID: https://orcid.org/0000-0002-7753-1243)
- Ahmed Roumane (ORCID: https://orcid.org/0000-0002-3658-6010)
- Mohamed Benouis (ORCID: https://orcid.org/0000-0002-9107-9329)
- Ismael Adji Haman
Institutions
- University of Augsburg (DE)
- Ecole Nationale Supérieur des Télécommunications et des Technologies de l’Information et de la Communication, Abdelhafid Boussouf (DZ)
- Université Djilali de Sidi Bel Abbès (DZ)
Publication Details
- Journal
- Journal of Clinical Ultrasound
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1002/jcu.24002
- Citations
- 4
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.18