Evaluation of deep learning models for segmentation of hippocampus volumes from MRI images in Alzheimer's disease.

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Title: Evaluation of deep learning models for segmentation of hippocampus volumes from MRI images in Alzheimer's disease.
Authors: Pusparani Y; Department of Visual Communication Design, Budi Luhur University, Jakarta, 12260, Indonesia.; Department of Digital Media Design, Asia University, Taichung, 413305, Taiwan., Lin CY; Department of Mechanical Engineering, National Central University, Taoyuan, 320317, Taiwan., Jan YK; Rehabilitation Engineering Lab, Department of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA., Liau BY; Department of Automatic Control Engineering, Feng Chia University, Taichung, 407102, Taiwan., Lin FY; Department of Neurology, China Medical University Hospital, Taichung, 404327, Taiwan., Furqon EN; Department of Mechanical Engineering, National Central University, Taoyuan, 320317, Taiwan., Talal M; Department of Computer Engineering, Gachon University, Seongnam-si, 13120, South Korea., Pravin SC; School of Electronics Engineering, Vellore Institute of Technology, Chennai, 600127, India., Tsai ZR; Department of Computer Science and Information Engineering, Asia University, Taichung, 413305, Taiwan.; Department of Medical Research, China Medical University Hospital, Taichung, 404327, Taiwan.; Center for Precision Medicine Research, Asia University, Taichung, 413305, Taiwan., Lung CW; Rehabilitation Engineering Lab, Department of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. cwlung@asia.edu.tw.; Department of Creative Product Design, Asia University, Taichung, 413305, Taiwan. cwlung@asia.edu.tw.
Source: Scientific reports [Sci Rep] 2026 Feb 09; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 09.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-38220-4