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A Comparative Evaluation of Pre-trained Convolutional Neural Networks for Melanoma Detection

arXiv · AI, language, vision and robotics · article · Sep 10, 2026 · UTC

Early diagnosis of melanoma is critical for improving patient survival rates. However, accurately distinguishing melanoma from other skin lesions remains a significant clinical challenge due to the high visual similarity among lesion types and variability in image acquisition conditions. Artificial intelligence, particularly machine learning, has emerged as a promising tool to support dermatological diagnosis by automating feature extraction from medical images. Among the available approaches, convolutional neural networks (CNNs) have demonstrated strong performance in image classification tas

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