Hierarchical Multi-Stage Attention and Dynamic Expert Routing for Explainable Gastrointestinal Disease Diagnosis

<b>Purpose:</b> Gastrointestinal (GI) illness demands precise and efficient diagnostics, yet conventional approaches (e.g., endoscopy and histopathology) are time-consuming and prone to reader variability. This work presents GID-Xpert, a deep learning framework designed to improve feature learning,...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Muhammad John Abbas, Hend Alshaya, Wided Bouchelligua, Nehal Hassan, Inzamam Mashood Nasir
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-10-01
Sarja:	Diagnostics
Aiheet:	gastrointestinal disease classification hierarchical attention mechanisms mixture of experts framework dynamic routing deep learning
Linkit:	https://www.mdpi.com/2075-4418/15/21/2714
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