Automatic classification and prognosis prediction of cerebral hemorrhage based on a deep learning model
Extensive experiments on benchmark medical datasets demonstrate that the proposed framework surpasses existing state-of-the-art methods in accuracy, robustness, and transparency. The integration of HemorrhageNet with the adaptive prognostic strategy provides a comprehensive, explainable solution for cerebral hemorrhage management and prognosis assessment.
Authors
- Xiaoyu Wang (ORCID: https://orcid.org/0000-0003-2933-7582)
- Ying Mao
Institutions
- Nanjing Brain Hospital (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-02-12
- DOI
- https://doi.org/10.3389/fneur.2026.1725732
- Primary Topic
- Intracerebral and Subarachnoid Hemorrhage Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00