Automated ventricular segmentation in pediatric hydrocephalus: how close are we?
Significant gaps exist in current cutting-edge segmentation models when applied to pediatric hydrocephalus. Researchers will need to address these types of gaps in performance through thoughtful consideration of their training data before reaching the ultimate goal of clinical deployment.
Authors
- Anant Naik (ORCID: https://orcid.org/0000-0002-7491-5401)
- Carolina Sandoval-Garcia (ORCID: https://orcid.org/0000-0003-1418-3568)
- Luke Sabal (ORCID: https://orcid.org/0000-0002-7114-1375)
- Ju Sun (ORCID: https://orcid.org/0000-0002-2017-5903)
- Robert A. McGovern (ORCID: https://orcid.org/0000-0003-0752-1899)
- Birra Taha (ORCID: https://orcid.org/0000-0001-5817-5258)
- Gaoxiang Luo (ORCID: https://orcid.org/0000-0001-6172-9784)
- Daniel Guillaume
Institutions
- University of Minnesota (US)
Publication Details
- Journal
- Journal of Neurosurgery Pediatrics
- Published
- 2025-05-23
- DOI
- https://doi.org/10.3171/2025.2.peds24590
- Citations
- 1
- Primary Topic
- Cerebrospinal fluid and hydrocephalus
- Type
- article
- Field-Weighted Citation Impact
- 0.91