Innovative Hybrid CNN-Transformer Deep Learning Models For The Automated Diagnosis Of Monkeypox From Medical Images
- DOI
- 10.3791/70533
- Published
- 2026-05-29
- Container
- Journal of Visualized Experiments
- Publisher
- MyJove Corporation
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3791/70533,
title = {Innovative Hybrid CNN-Transformer Deep Learning Models For The Automated Diagnosis Of Monkeypox From Medical Images},
author = {Bhawani Sankar Panigrahi and R. Kishore Kanna and Nukala Sujata Gupta and Jhum Swain and Biswajit Brahma and Venkatesh Kavididevi},
year = {2026},
journal = {Journal of Visualized Experiments},
doi = {10.3791/70533},
url = {https://doi.org/10.3791/70533}
}RIS
TY - JOUR TI - Innovative Hybrid CNN-Transformer Deep Learning Models For The Automated Diagnosis Of Monkeypox From Medical Images AU - Bhawani Sankar Panigrahi AU - R. Kishore Kanna AU - Nukala Sujata Gupta AU - Jhum Swain AU - Biswajit Brahma AU - Venkatesh Kavididevi PY - 2026 JO - Journal of Visualized Experiments DO - 10.3791/70533 UR - https://doi.org/10.3791/70533 ER -
APA
Panigrahi, B. S., Kanna, R. K., Gupta, N. S., Swain, J., Brahma, B., & Kavididevi, V. (2026). Innovative Hybrid CNN-Transformer Deep Learning Models For The Automated Diagnosis Of Monkeypox From Medical Images. Journal of Visualized Experiments. https://doi.org/10.3791/70533
Source records
- crossref · retrieved 2026-09-26T11:35:44.793Z