Skin Cancer Classification using Deep Learning(CNN)

Author(s)	Mr. Rohit Indurkar, Mr. Ganesh Kene, Mr. Rohit Patil, Mr. Sujal Erande, Prof. Arvind Gautam
Country	India
Abstract	Skin cancer is a serious and widespread disease that requires fast and accurate diagnosis. Traditional methods rely on dermatologists’ visual inspection, which can be subjective, time-consuming, and prone to errors. To address this, a deep learning-based system is developed for automatic classification of skin lesions using dermoscopic images.
Keywords	Deep learning methodologies, CNN-based architectures, transfer learning strategies, dermoscopy image analysis, and automated melanoma classification, Explainable AI (XAI), ISIC, HAM10000.
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-06-21

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International Journal For Multidisciplinary Research