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Cerebral Aneurysm Detection

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Cover of 'Cerebral Aneurysm Detection'

Table of Contents

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    Book Overview
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    Chapter 1 Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)
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    Chapter 2 CADA: Clinical Background and Motivation
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    Chapter 3 Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection
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    Chapter 4 Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet
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    Chapter 5 A$$\nu $$-Net: Automatic Detection and Segmentation of Aneurysm
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    Chapter 6 3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge
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    Chapter 7 Exploring Large Context for Cerebral Aneurysm Segmentation
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    Chapter 8 CADA Challenge: Rupture Risk Assessment Using Computational Fluid Dynamics
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    Chapter 9 Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network
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    Chapter 10 Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning
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    Chapter 11 Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds
Attention for Chapter 9: Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network
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