AI RESEARCH
Low Dose CT for Stroke Diagnosis: A Dual Pipeline Deep Learning Framework for Portable Neuroimaging
arXiv CS.CV
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ArXi:2603.26764v1 Announce Type: new Portable CT scanners enable early stroke detection in prehospital and low-resource settings but require reduced radiation doses, We compare two pipelines: (1) direct classification of noisy LDCT images and (2) denoising followed by classification. Performance is evaluated across multiple dose levels using accuracy, sensitivity, and AUC. While denoising improves perceptual image quality, it does not consistently improve classification.