Enhanced Vision Transformer with Lion Optimizer for Accurate Classification of Monkeypox Skin Images
Monkeypox is a contagious viral infection caused by the monkeypox virus (Mpoxvirus). Characterized by skin lesions, fever, respiratory difficulties, swollen lymph nodes, and neurological complications, MPX can be fatal. Recent outbreaks have spread the disease across Europe, Australia, the United States, and Africa. Traditionally diagnosed through PCR testing of skin lesions, this process poses significant risks to medical personnel due to potential exposure to the highly contagious virus. However, the usage artificial intelligence (AI) is revolutionizing diagnostics, providing a safer and more efficient approach to MPX detection. In this paper, a new AI technique based on vision transformer and lion optimizer for classifying Monkeypox Skin Images. The presented model used for classifying the dataset and results reached accuracy of 99.6%.
Authors
- Esraa Hassan (ORCID: https://orcid.org/0000-0002-1021-717X)
- Samar Elbedwehy (ORCID: https://orcid.org/0000-0002-2187-0174)
- Roheet Bhatnagar (ORCID: https://orcid.org/0000-0001-9098-3378)
- Abeer Saber (ORCID: https://orcid.org/0000-0002-9261-0927)
- Mahmoud Y. Shams (ORCID: https://orcid.org/0000-0003-3021-5902)
Institutions
- Damietta University (EG)
- Kafrelsheikh University (EG)
- Manipal University Jaipur
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/ictacs62700.2024.10840567
- Citations
- 6
- Primary Topic
- Poxvirus research and outbreaks
- Type
- article
- Field-Weighted Citation Impact
- 1.76