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SKIN CANCER DETECTION THROUGH IMAGE ANALYSIS


EOI: 10.11242/viva-tech.01.08.025

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Citation

Vikrant Pawar, Jay Rupareliya, Shrikant Bhise, Prof. Sunita Naik," SKIN CANCER DETECTION THROUGH IMAGE ANALYSIS ", VIVA-IJRI Volume 1, Issue 8, Article 1, pp. 1-10, 2025. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

" Skin cancer, including melanoma, basal cell carcinoma, and squamous cell carcinoma, is a growing health concern primarily linked to UV radiation exposure. Symptoms often manifest as abnormal moles, new growths, or changes in existing skin lesions. Factors such as ozone layer depletion and lifestyle choices contribute to its increasing prevalence, underscoring the need for early detection to improve treatment outcomes. The Skin Cancer Detection Website provides a user-friendly and accessible solution for preliminary diagnosis. By allowing users to upload images of skin lesions, the platform employs advanced AI algorithms to assess potential malignancy risks and generate personalized recommendations, such as seeking professional medical consultation. Additionally, the platform offers educational resources on symptoms, risk factors, and prevention strategies. By integrating AI-driven analysis with health awareness initiatives, this system empowers individuals to take proactive steps in managing their skin health, promoting early detection, and potentially reducing the overall burden of skin cancer."

Keywords

Artificial Intelligence, Early Detection, Machine Learning, Prevention, Skin Cancer

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