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A vascular synthetic model for improved aneurysm segmentation and detection via Deep Neural Networks
March 28, 2024, 4:46 a.m. | Rafic Nader, Florent Autrusseau, Vincent L'Allinec, Romain Bourcier
cs.CV updates on arXiv.org arxiv.org
Abstract: We hereby present a full synthetic model, able to mimic the various constituents of the cerebral vascular tree: the cerebral arteries, the bifurcations and the intracranial aneurysms. By building this model, our goal was to provide a substantial dataset of brain arteries which could be used by a 3D Convolutional Neural Network (CNN) to either segment or detect/recognize various vascular diseases (such as artery dissection/thrombosis) or even some portions of the cerebral vasculature, such as …
abstract aneurysm arxiv brain building cerebral cs.cv dataset detection eess.iv networks neural networks segmentation synthetic tree type via
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