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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 8, AUGUST 2024

EFFICIENT REAL-TIME SKIN DISEASE DETECTION USING YOLOv8

Sahana B D, Chaithra U C

DOI: 10.17148/IJARCCE.2024.13847

Abstract: Skin diseases represent a significant health challenge worldwide, impacting individuals across all age groups and demographics. For effective treatment and management of these conditions, timely and accurate diagnosis is essential. However, diagnosing skin diseases can be complex and time-consuming, often necessitating specialized expertise from dermatologists or other healthcare professionals.In recent years, advancements in computer science and artificial intelligence have transformed various sectors, including healthcare. Specifically in dermatology, automated methods have emerged for detecting and diagnosing skin diseases through visual data, such as images.

How to Cite:

[1] Sahana B D, Chaithra U C, “EFFICIENT REAL-TIME SKIN DISEASE DETECTION USING YOLOv8,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13847