Deep Learning-Based Models for Ventricular Segmentation in Hydrocephalus: A Systematic Review and Meta-Analysis.

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Bibliographic Details
Title: Deep Learning-Based Models for Ventricular Segmentation in Hydrocephalus: A Systematic Review and Meta-Analysis.
Authors: Hajikarimloo B; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: bardii47@yahoo.com., Mohammadzadeh I; Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Habibi MA; Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran., Kooshki A; Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran., Aghajani S; Department of Medicine, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tajvidi M; Student Research Committee, Abadan University of Medical Sciences, Abadan, Iran., Hashemi R; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Hooshmand M; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Bana S; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Najari D; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Tavanaei R; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Akhlaghpasand M; Department of Neurological Surgery, Shohada Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Source: World neurosurgery [World Neurosurg] 2025 Jun; Vol. 198, pp. 124001. Date of Electronic Publication: 2025 Apr 28.
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101528275 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-8769 (Electronic) Linking ISSN: 18788750 NLM ISO Abbreviation: World Neurosurg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-8769
DOI:10.1016/j.wneu.2025.124001