Towards unbiased skin cancer classification using deep feature fusion
Abstract This paper introduces SkinWiseNet (SWNet), a deep convolutional neural network designed for the detection and automatic classification of potentially malignant skin cancer conditions. SWNet optimizes feature extraction through multiple pathways, emphasizing network width augmentation to enh...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
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Series: | BMC Medical Informatics and Decision Making |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12911-025-02889-w |