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Research on Skin Disease Image Classification Based on an Attention-Enhanced Residual Network

Qingping Li

Abstract


Automated diagnosis of skin diseases plays a significant role in clinical practice. This study proposes an improved ResNet18
model incorporating attention mechanisms at both channel and spatial levels to enhance feature extraction and classification performance.
Experimental results demonstrate that the improved model outperforms conventional models in terms of accuracy, precision, recall, and
F1 score. The findings provide an effective technical solution for early automated diagnosis of skin diseases, with promising potential for
clinical applications.

Keywords


Skin diseases; Attention mechanism; ResNet18; Image classification

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References


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DOI: http://dx.doi.org/10.70711/pmr.v2i4.6121

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