Self-contrastive Feature Guidance Based Multidimensional Collaborative Network of metadata and image features for skin disease classification
Abstract: Highlights•Implementing multidimensional collaboration between metadata and image features.•Designed a non-enhanced manner to promote convergence based on contrast learning.•Introduced a spatial-wise fusion method between metadata and image feature.•SGMC achieves SOTA on PAD-UFES20 dataset.
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