SKINVGG-NET: A MODIFIED AND FINE-TUNED VGG19-BASED DEEP LEARNING ARCHITECTURE FOR SKIN CANCER CLASSIFICATION
Skin cancer, one of the most common and potentially fatal cancers, requires early and correct diagnosis to improve patient outcomes. While dermatologists possess extensive diagnostic expertise, recent studies have shown that Convolutional Neural Networks (CNNs) can often surpass human performance in...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
XLESCIENCE
2025-06-01
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| Series: | International Journal of Advances in Signal and Image Sciences |
| Subjects: | |
| Online Access: | https://xlescience.org/index.php/IJASIS/article/view/276 |
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