ahmed-ai/skin-lesions-classification-dataset

Skin Lesions Dataset

A dataset for 14 types of skin lesions classification consisted of merging HAM10000(2019) and MSLDv2.0

The dataset consisted of 14 categories:

• Actinic keratoses
• Basal cell carcinoma
• Benign keratosis-like-lesions
• Chickenpox
• Cowpox
• Dermatofibroma
• Healthy
• HFMD
• Measles
• Melanocytic nevi
• Melanoma
• Monkeypox
• Squamous cell carcinoma
• Vascular lesions

Load the dataset

from datasets import load_dataset

dataset = load_dataset("ahmed-ai/skin-lesions-dataset")

Citation for the original datasets

MSLDv2.0

@article{Nafisa2023,
title={A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity},
author={Ali, Shams Nafisa and Ahmed, Md. Tazuddin and Jahan, Tasnim and Paul, Joydip and Sani, S. M. Sakeef and Noor, Nawshaba and Asma, Anzirun Nahar and Hasan, Taufiq},
journal={arXiv preprint arXiv:2306.14169},
year={2023}
}

HAM10000 (2019)

BCN_20000 Dataset: (c) Department of Dermatology, Hospital Clínic de Barcelona

HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161

MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368