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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.π 22 views
How to Cite:
[1] Sahana B D, Chaithra U C, βEFFICIENT REAL-TIME SKIN DISEASE DETECTION USING YOLOv8,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13847
