Detection and Localization of Subdural Hematoma Using Deep Learning on Computed Tomography
Published:Dec 10, 2025 07:37
•1 min read
•ArXiv
Analysis
This article describes a research paper on using deep learning for medical image analysis, specifically focusing on the detection and localization of subdural hematomas from CT scans. The use of deep learning in medical imaging is a rapidly growing field, and this research likely contributes to advancements in automated diagnosis and potentially improved patient outcomes. The source, ArXiv, indicates this is a pre-print or research paper, suggesting it's not yet peer-reviewed.
Key Takeaways
- •Applies deep learning to medical image analysis.
- •Focuses on detecting and localizing subdural hematomas.
- •Uses Computed Tomography (CT) scans.
- •Published on ArXiv, indicating it's likely a pre-print.
Reference
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