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Mpox Close Skin Images - MaRDI portal

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Mpox Close Skin Images

From MaRDI portal



DOI10.5281/zenodo.8360076Zenodo8360076MaRDI QIDQ6704196

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 18 May 2023

Copyright license: No records found.



Description

TheMpox Close Skin Images dataset(MCSI)is a collection ofskin images obtained from diverse public sources, that weaccurately pre-processed (i.e., cropped and zoomed)in order to focus the skin lesion (if present), and to evaluate Machine Learning models aimed at detecting different pathologies from skin lesion pictures taken with smartphone cameras. It includes a total of 400 pictures homogeneously divided in 4 different classes: mpox, which contains samples of mpox (formerly Monkeypox) skin lesions;chickenpox, with samples of chickenpox cases;acne, containing samples of acne at different severity levels; andhealthy, which containssamples of skin without any evident symptoms. This repository is part of the supplementary material accompanying the paper named:A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images. Please, refer to the README.md file for more details. Version 2 includes the addition of the file skin_tone_labels.csv. This file comprises the classification of skin images into Light and Dark skin tone classes. These classifications are instrumental in assessing the models prediction fairness across various skin pigments.






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