Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs ...
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Apr 16, 2021 · We propose a method combining morphological radiomics features, gray-level radiomics features, and a novel aneurysm site location encoding via directed graphs ...
Oct 8, 2020 · We propose a method combining morphological radiomics features, gray-level radiomics features, and a novel aneurysm site location encoding via directed graphs ...
An intracranial aneurysm is an abnormal local dilatation of the cerebral artery due to the weakness of the vessel wall. It occurs in approximately 2–5% of the ...
We propose a method combining morphological radiomics features, gray-level radiomics features, and a novel aneurysm site location encoding via directed graphs ...
Jan 10, 2023 · We propose a pipeline for intracranial aneurysm analysis using deep learning-based mesh segmentation, automatic centerline and outlet detection ...
Apr 24, 2020 · We developed a model for pre-diagnosis IA prediction using a national claims database and health examination records.
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A machine learning approach assessing the rupture risk of intracranial aneurysms is proposed in our study.
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Nov 15, 2024 · Studies incorporating any machine learning algorithm to predict the risk of rupture of an intracranial aneurysm were included. Risk of bias was ...
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Oct 8, 2020 · Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning. Cerebral Aneurysm Detection and Analysis. Abstract.
Rupture risk analysis of intracranial aneurysms is important for treatment decisions. Morphological parameters like size, diameter or aspect ratio are used ...