Optimized Hounsfield Units Transformation for Explainable Temporal Stage-Specific Ischemic Stroke Classification in CT Imaging

A neural network-optimized framework with interpretability validation provides stage-specific stroke classification that achieves superior performance over static methods. Its pathophysiology-aligned parameter adaptation offers a clinically viable and transparent solution for emergency stroke assessment.

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Publication Details

Journal
Journal of Imaging
Published
2025-11-28
DOI
https://doi.org/10.3390/jimaging11120423
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimized Hounsfield Units Transformation for Explainable Temporal Stage-Specific Ischemic Stroke Classification in CT Imaging

Radwan Qasrawi, Hamza Arjah, Ibrahem Qdaih, Suliman Thwib et al.
Journal of Imaging
Acute Ischemic Stroke Management
article

Optimized Hounsfield Units Transformation for Explainable Temporal Stage-Specific Ischemic Stroke Classification in CT Imaging

Radwan Qasrawi, Hamza Arjah, Ibrahem Qdaih, Suliman Thwib, Ghada Issa, Razan Abu Ghoush
article en

Abstract

A neural network-optimized framework with interpretability validation provides stage-specific stroke classification that achieves superior performance over static methods. Its pathophysiology-aligned parameter adaptation offers a clinically viable and transparent solution for emergency stroke assessment.

Journal of ImagingVol. 11(12)
Al-Quds Open University (PS), Al-Quds University (PS), Palestinian Hydrology Group (PS), Istinye University (TR)
Openalex Percentile: Top 50%
Acute Ischemic Stroke Management
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