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External Validation of DeepBleed: The first open-source 3D Deep Learning Network for the Segmentation of Intracerebral and Intraventricular Hemorrhage

2023-03-01

Abstract excerpt

<h4>Objectives</h4> DeepBleed is the first publicly available deep neural network model for the 3D segmentation of acute intracerebral hemorrhage (ICH) and intraventricular hemorrhage (IVH) on non-enhanced CT scans (NECT). The aim of this study was to evaluate the generalizability in an independent heterogenous ICH cohort and to improve the prediction accuracy by retraining the model. <h4>Methods</h4> This retrosp...

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Literature Corpus work
bd6d4a1c-8fab-5006-a271-e42a3818a295
DOI
10.1101/2023.02.27.23286358
Open publication

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External Validation of DeepBleed: The first open-source 3D Deep Learning Network for the Segmentation of Intracerebral and Intraventricular HemorrhageDOI 10.1101/2023.02.27.23286358
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