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EFAM-Net: A Multi-Class Skin Lesion Classification Model Utilizing Enhanced Feature Fusion and Attention Mechanisms

Skin cancer caused by common malignant tumors is a major threat to the health of patients. Automated classification of skin lesions using computer algorithms is crucial for enhancing diagnostic efficiency and reducing mortality rates associated with skin cancer. Enhancing the capabilities of image c...

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Principais autores: Zhanlin Ji, Xuan Wang, Chunling Liu, Zhiwu Wang, Na Yuan, Ivan Ganchev
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2024-01-01
Serier:IEEE Access
Fag:
Skin cancer
lesion classification
ConvNeXt
EFAM-Net
ISIC 2019
HAM10000
Online adgang:https://ieeexplore.ieee.org/document/10695064/
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