Towards unbiased skin cancer classification using deep feature fusion

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...

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Bibliographic Details
Main Authors: Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Deep learning
Skin cancer classification
Transfer learning
Explainable AI
Grad-CAM
Feature fusion
Online Access:https://doi.org/10.1186/s12911-025-02889-w
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