Automated Hematoma Detection and Outcome Prediction in Patients With Traumatic Brain Injury
The proposed method enhances the precision of hematoma segmentation and subtype classification. In clinical settings, the method can streamline the evaluation of ICH for radiologists, and the automatically extracted features are anticipated to facilitate prognosis assessment.
Authors
- Junyao Chen
- Shike Hou (ORCID: https://orcid.org/0000-0001-6097-0867)
- Qiuyu Fu
- Yang Xu (ORCID: https://orcid.org/0000-0002-6029-718X)
- Mengqi Qu
- Lu Lu (ORCID: https://orcid.org/0000-0002-6127-5978)
- Jerome Fan
Institutions
- Tianjin University (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1111/cns.70119
- Citations
- 4
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 1.48
Funders
- National Key Research and Development Program of China