GLI-Net: A global and local interaction network for accurate classification of gastrointestinal diseases in endoscopic images

The accurate classification of gastrointestinal diseases from endoscopic images is essential for early detection and treatment. However, current methods face challenges in effectively integrating both global and local features, which limits their ability to capture both broad semantic information an...

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Detalhes bibliográficos

Principais autores:	Yuansen Zhang, Mengxiao Zhuang, Wenjun Chen, Xiaoqiu Wu, Qingqing Song
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-04-01
Colecção:	Frontiers in Physics
Assuntos:	endoscopic image classification deep learning global and local feature fusion global branch module local branch module
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fphy.2025.1582245/full
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