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Mining Hierarchical Oral Disease Prototypes: Oral Disease Diagnosis Using a Novel Dynamic Compositional Prototype Learning Framework

2025-07-21

Abstract excerpt

Identifying oral diseases from individual images has gained momentum with deep learning advances, yet existing computational methods show significant limitations. Existing deep learning based approaches treat oral disease recognition as direct image-to-label mapping, failing to explicitly capture disease-specific visual characteristics. This fundamental flaw limits their generalization capabilities, especially und...

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Literature Corpus work
1ca5a83f-f4a9-5a4e-8196-3e1ec00c8e81
DOI
10.20944/preprints202504.0003.v2
Open publication

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Mining Hierarchical Oral Disease Prototypes: Oral Disease Diagnosis Using a Novel Dynamic Compositional Prototype Learning FrameworkDOI 10.20944/preprints202504.0003.v2
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