Melanoma Detection Using Convolutional Neural Network
International Journal of Machine Learning · 2025
Melanoma, a severe kind of skin cancer, requires early identification to enhance patient outcomes.This paper describes a unique approach to melanoma diagnosis that combines image processing techniques with deep learning methodologies.This paper provides a method for analyzing skin lesion photos that uses a mix of color, texture, and form factors, followed by classification using a convolutional neural network.Using a publicly accessible collection of skin lesion photos, this method obtained a 93% accuracy in differentiating between malignant and benign lesions.These positive findings suggest that this study approach has the potential to considerably benefit dermatologists in the early detection of melanoma, improving treatment outcomes and patient survival.