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HMA-DER: A Hierarchical Attention and Expert Routing Framework for Accurate Gastrointestinal Disease Diagnosis

Year: 2025

Type: article

Abstract: Objective: Deep learning is employed increasingly in Gastroenterology (GI) endoscopy computer-aided diagnostics for polyp segmentation and multi-class disease detection. In the real world, implementation requires high accura... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.074416

Authors: Sara Tehsin, Inzamam Mashood Nasir, Wiem Abdelbaki, Fadwa Alrowais, Khalid A. Alattas, Sultan Almutairi, Radwa Marzouk

Institutions: Princess Nourah bint Abdulrahman University, Kaunas University of Technology, Shaqra University, American University of the Middle East, University of Jeddah

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7111148044

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