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