BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications.

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Bibliographic Details
Title: BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications.
Authors: Intharah T; Visual Intelligence Laboratory, Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand. Electronic address: thanin@kku.ac.th., Wiratchawa K; Visual Intelligence Laboratory, Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand., Wanna Y; Visual Intelligence Laboratory, Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand., Junsawang P; Visual Intelligence Laboratory, Department of Statistics, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand., Titapun A; Department of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand., Techasen A; Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand; Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand., Boonrod A; Department of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand., Laopaiboon V; Department of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand., Chamadol N; Department of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand., Khuntikeo N; Department of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand. Electronic address: nkhuntikeo@gmail.com.
Source: Artificial intelligence in medicine [Artif Intell Med] 2023 May; Vol. 139, pp. 102539. Date of Electronic Publication: 2023 Mar 31.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2860
DOI:10.1016/j.artmed.2023.102539