Article

Adaptive Contextual-Relational Network for Fine-Grained Gastrointestinal Disease Classification

2025-12-08

Abstract excerpt

Automated fine-grained classification of gastrointestinal diseases from endoscopic images is vital for early diagnosis yet remains difficult due to limited annotated data, large appearance variations, and the subtle nature of many lesions. Existing few-shot and relational learning approaches often struggle with handling drastic viewpoint shifts, complex contextual cues, and distinguishing visually similar patholog...

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Literature Corpus work: 7c8432a8-8e5c-5ab0-9e97-ea366f4840f7
DOI: 10.20944/preprints202512.0679.v1

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