Article

Oral Disease Recognition via Dynamic Compositional Prototype Learning

2025-04-01

Abstract excerpt

Oral disease recognition aims to identify specific diseases from individual oral images. With the progress of deep learning, pioneering computational methods tailored for this task have started to demonstrate their potential. Conventional deep learning approaches typically treat oral disease recognition as a simplistic image-to-label mapping, thereby neglecting the critical need to explicitly model disease-specifi...

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Literature Corpus work: 3bcaef6b-7b50-5221-be74-20425239e8f3
DOI: 10.20944/preprints202504.0003.v1

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