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AECNet: Advancing Skin Cancer Classification using ACGAN-Based Synthetic Data with Grad-CAM Explainability

2025-05-27

Abstract excerpt

One of the most deadly types of cancer is skin cancer, especially melanoma; early discovery is very important to increase survival rates. Handmade feature extraction, a crucial component of conventional approaches for skin cancer classification, may face constraints due to irrelevant patterns and background noise. Although deep learning models such as convolutional neural networks (CNNs) have shown potential in me...

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Literature Corpus work: d249405f-cfe7-5c64-8575-0236c831505d
DOI: 10.22541/au.174837855.50632479/v1

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