Automated Computer Vision Methods for Image Segmentation, Stereotactic Localization, and Functional Outcome Prediction of Basal Ganglia Hemorrhages
Computer vision models can accurately replicate bgICH manual segmentation, stereotactic localization, and prognosticate functional outcomes after MIS bgICH evacuation.
Authors
- Nina Z. Moore (ORCID: https://orcid.org/0000-0001-9125-8071)
- João Gomes (ORCID: https://orcid.org/0000-0002-5550-2177)
- Varun R. Kshettry (ORCID: https://orcid.org/0000-0003-3217-8279)
- Mark A. Davison (ORCID: https://orcid.org/0000-0003-3918-5869)
- Ahmed Kashkoush (ORCID: https://orcid.org/0000-0002-2045-972X)
- Rebecca L. Achey
- Mark Bain
- Peter A. Rasmussen
Institutions
- Cleveland Clinic (US)
- Neurological Surgery (US)
- The Neurological Institute (US)
Publication Details
- Journal
- Neurosurgery
- Published
- 2025-05-30
- DOI
- https://doi.org/10.1227/neu.0000000000003534
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00