Titlebook: Cerebral Aneurysm Detection and Analysis; First Challenge, CAD Anja Hennemuth,Leonid Goubergrits,Jan-Martin Kuhni Conference proceedings 20

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书目名称Cerebral Aneurysm Detection and Analysis影响因子(影响力)




书目名称Cerebral Aneurysm Detection and Analysis影响因子(影响力)学科排名




书目名称Cerebral Aneurysm Detection and Analysis网络公开度




书目名称Cerebral Aneurysm Detection and Analysis网络公开度学科排名




书目名称Cerebral Aneurysm Detection and Analysis被引频次




书目名称Cerebral Aneurysm Detection and Analysis被引频次学科排名




书目名称Cerebral Aneurysm Detection and Analysis年度引用




书目名称Cerebral Aneurysm Detection and Analysis年度引用学科排名




书目名称Cerebral Aneurysm Detection and Analysis读者反馈




书目名称Cerebral Aneurysm Detection and Analysis读者反馈学科排名

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Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection a death rate of roughly 40%, it is highly desirable to detect aneurysms early and decide about the appropriate rupture prevention strategy. Rotational X-ray angiography is a non-invasive imaging modality and enables diagnostics to detect cerebral aneurysms at an early stage..We propose a variation

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allergy

3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challengeatening. 3D images can provide abundant information for characterizing the aneurysm. But the traditional manual segmentation of aneurysms takes lots of time and effort. Therefore, accurate and rapid automatic algorithm for 3D segmentation of aneurysm is needed. U-Net is a widely used deep learning n

allergy

convert

CADA Challenge: Rupture Risk Assessment Using Computational Fluid Dynamicsional methods. In this work we performed computational fluid dynamics (CFD) on a subset of aneurysm cases provided by the challenge committee. A large number of aneurysm cases were available, CFD analysis using the lattice Boltzmann method (LBM) were performed on 18 of them. These 18 aneurysms were

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cauda-equina

Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learningt methods combine demographic, clinical, morphological, and computational fluid dynamics parameters..We propose a method combining morphological radiomics features, gray-level radiomics features, and a novel aneurysm site location encoding via directed graphs on the vessel tree. Some of the gray-lev