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August 9, 2024La radiologia medicaOpen Access

Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans

Tommaso D’Angelo Giuseppe M. Bucolo Tarek Kamareddine İbrahim Yel Ina Koch Leon D. Gruenewald Simon S. Martin Leona S. Alizadeh Silvio Mazziotti Alfredo Blandino Thomas J. Vogl Christian Booz

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Abstract

To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessment of acute intracranial hemorrhage (ICH) on non-contrast computed tomography (NCCT) head scans after traumatic brain injury (TBI).

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D’Angelo et al. (2024) studied this question.

synapsesocial.com/papers/68e5cda6b6db643587563868 https://doi.org/10.1007/s11547-024-01867-y

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