Grad-CAM based deep learning analytics for image-level colon disease classification based on graph neural networks and vision transformers.

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Bibliographic Details
Title: Grad-CAM based deep learning analytics for image-level colon disease classification based on graph neural networks and vision transformers.
Authors: Zhen C; Department of Gastrointestinal Surgery, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China., Yao C; Department of Surgery, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China., Li S; Department of Gastrointestinal Surgery, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China., Lin Z; Department of Gastrointestinal Surgery, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China., Muhammad Ibrahim U; School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China., Chipusu K; Department of Mechanical Engineering, Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada., Zheng B; Department of Surgery, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China., Liang R; Department of Gastrointestinal Surgery, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, Guangdong, China.
Source: Frontiers in physiology [Front Physiol] 2026 May 25; Vol. 17, pp. 1734299. Date of Electronic Publication: 2026 May 25 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101549006 Publication Model: eCollection Cited Medium: Print ISSN: 1664-042X (Print) Linking ISSN: 1664042X NLM ISO Abbreviation: Front Physiol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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