ArsenicSkinImageBD: A comprehensive image dataset to classify affected and healthy skin of arsenic-affected people

ArsenicSkinImageBD: A comprehensive image dataset to classify affected and healthy skin of arsenic-affected people

Compared to other popular research domains, dermatology got less attention among machine learning researchers. One of the main concerns for this problem is an inadequate dataset since collecting samples from the human body is very sensitive. In recent years, arsenic has emerged as a significant issu...

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Bibliographic Details
Main Authors: Ismot Ara Emu, Nishat Tasnim Niloy, Bhuyan Md Anowarul Karim, Anindya Chowdhury, Fatema Tuj Johora, Mahamudul Hasan, Tanni Mittra, Mohammad Rifat Ahmmad Rashid, Taskeed Jabid, Maheen Islam, Md. Sawkat Ali
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:Data in Brief
Subjects:
Arsenic disease dataset
Dermatology
Image classification
Artificial intelligence model
Skin image
Computer vision
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923010430

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http://www.sciencedirect.com/science/article/pii/S2352340923010430

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