2026-10-15T03:55:39Z https://data.mendeley.com/oai

oai:data.mendeley.com/hytkgj86gj.2 2025-10-29T16:34:51Z

Hossain, Md Shakhawat MonkeyPox Skin Image Dataset for Computer Vision (MPox-Vision) Mendeley Data Mpox-Vision is a quality-verified dataset of monkeypox skin images curated to support the development of reliable AI-based diagnostic systems. All images have been reviewed by two medical experts to ensure proper focus, exposure, and clinical relevance. The dataset excludes irrelevant, mislabeled, or noisy images, making it clean and suitable for training robust and generalizable models. Mpox-Vision offers a dependable resource for advancing skin lesion classification and AI-assisted diagnosis, especially in low-resource settings. Please cite the following paper if you use this dataset: Hossain, M. S., Ahmed, M., & Rahman, M. S. (2025). From survey to solution: A deep learning framework for reliable monkeypox diagnosis using skin images. Array, 28, 100554. https://doi.org/10.1016/j.array.2025.100554 Artificial Intelligence Computer Vision Dermatology Machine Learning Skin Disease Measles Image Classification Acne Ensemble Computer-Aided Diagnosis Chickenpox Deep Learning Monkeypox Ahmed, Munim Rahman, Md Sahilur Dataset doi:10.17632/hytkgj86gj.2 oai:data.mendeley.com/hytkgj86gj.2 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/hytkgj86gj 2025-10-29T16:34:51Z