From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset
- DOI
- 10.1016/j.artmed.2026.103499
- Published
- 2026-11
- Container
- Artificial Intelligence in Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.artmed.2026.103499,
title = {From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset},
author = {Faysal Ahmmed and Asef Rahman Antik and Samanta Mehnaj and Ajmy Alaly and M.F. Mridha},
year = {2026},
journal = {Artificial Intelligence in Medicine},
doi = {10.1016/j.artmed.2026.103499},
url = {https://doi.org/10.1016/j.artmed.2026.103499}
}RIS
TY - JOUR TI - From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset AU - Faysal Ahmmed AU - Asef Rahman Antik AU - Samanta Mehnaj AU - Ajmy Alaly AU - M.F. Mridha PY - 2026 JO - Artificial Intelligence in Medicine DO - 10.1016/j.artmed.2026.103499 UR - https://doi.org/10.1016/j.artmed.2026.103499 ER -
APA
Ahmmed, F., Antik, A. R., Mehnaj, S., Alaly, A., & Mridha, M. (2026). From heatmaps to language: Explainable skin cancer diagnosis using CNN–VLM integration with an expert-annotated dataset. Artificial Intelligence in Medicine. https://doi.org/10.1016/j.artmed.2026.103499
Source records
- crossref · retrieved 2026-09-26T18:02:30.117Z