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Transferable Deep Reinforcement Learning With Edge-Contour-Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation.

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Title: Transferable Deep Reinforcement Learning With Edge-Contour-Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation.
Authors: Wu H; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Gao H; School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, Australia., Liu Q; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Yuan S; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Fang H; Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China., Su M; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Liang B; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Yang Y; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Bai L; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Dong W; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Xie D; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Su S; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Lai J; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China., Cheng SS; Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China., Li Z; Qilu Hospital of Shandong University, Jinan, Shandong, China., Zuo X; Qilu Hospital of Shandong University, Jinan, Shandong, China., Ren H; Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 Jun 12, pp. e00008. Date of Electronic Publication: 2026 Jun 12.
Publication Type: Journal Article
Journal Info: Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE
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