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Clinically Scalable Deep Learning for Stroke Multicenter Validation of an Ultra-Efficient NCCT-Based Diagnostic Framework

2025-09-09

Abstract excerpt

<title>Abstract</title> <p>We propose an ultra-efficient multitask deep learning framework for automated cerebral ischemia detection and lesion segmentation from non-contrast computed tomography (NCCT) scans. Evaluated on 1,200 multicenter NCCT scans using fivefold cross-validation and an external test set, the model achieved 97.2% accuracy, 97.8% sensitivity, and an area under the curve (AUC) of 0.984 for classi...

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Literature Corpus work: ec0dafb7-6720-556a-af3e-670a9695cb29
DOI: 10.21203/rs.3.rs-7240302/v1

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