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.

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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
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article

Automatic classification and prognosis prediction of cerebral hemorrhage based on a deep learning model

Xiaoyu Wang, Ying Mao
Frontiers in Neurology
Intracerebral and Subarachnoid Hemorrhage Research
article

Automatic classification and prognosis prediction of cerebral hemorrhage based on a deep learning model

Xiaoyu Wang, Ying Mao
article en

Abstract

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.

Frontiers in NeurologyVol. 17
Nanjing Brain Hospital (CN)
Openalex Percentile: Top 60%
Intracerebral and Subarachnoid Hemorrhage Research
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