Tri-Net: unified deep learning for skin lesion and symptom-based monkeypox detection
- DOI
- 10.1038/s41598-026-61490-x
- Published
- 2026-07-13
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-61490-x,
title = {Tri-Net: unified deep learning for skin lesion and symptom-based monkeypox detection},
author = {S. Sudharsan and Prabu Selvam and Nirmala Veeramani and B. Kiran Kumar and Nikola Ivković and Korhan Cengiz},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-61490-x},
url = {https://doi.org/10.1038/s41598-026-61490-x}
}RIS
TY - JOUR TI - Tri-Net: unified deep learning for skin lesion and symptom-based monkeypox detection AU - S. Sudharsan AU - Prabu Selvam AU - Nirmala Veeramani AU - B. Kiran Kumar AU - Nikola Ivković AU - Korhan Cengiz PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-61490-x UR - https://doi.org/10.1038/s41598-026-61490-x ER -
APA
Sudharsan, S., Selvam, P., Veeramani, N., Kumar, B. K., Ivković, N., & Cengiz, K. (2026). Tri-Net: unified deep learning for skin lesion and symptom-based monkeypox detection. Scientific Reports. https://doi.org/10.1038/s41598-026-61490-x
Source records
- crossref · retrieved 2026-09-27T02:35:08.099Z