Cerebral Aneurysm Detection and Analysis First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings /
This book constitutes the First Cerebral Aneurysm Detection Challenge, CADA 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru,...
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| Other Authors: | , , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
12643 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-72862-5 |
Table of Contents:
- Overview of the CADA Challenge at MICCAI 2020
- Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)
- Introduction
- CADA: Clinical Background and Motivation
- Cerebral Aneurysm Detection
- Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection
- Detect and Identify Aneurysms Based on Ajusted 3D Attention Unet
- Cerebral Aneurysm Segmentation
- A$\nu$-net: Automatic Detection and Segmentation of Aneurysm
- 3D Attention U-Net with pretraining: A Solution to CADA-Aneurysm Segmentation Challenge
- Exploring Large Context for Cerebral Aneurysm Segmentation
- Cerebral Aneurysm Rupture Risk Estimation
- CADA Challenge: Rupture risk assessment using Computational Fluid Dynamics
- Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network
- Intracranial aneurysm rupture risk estimation utilizing vessel-graphs and machine learning
- Intracranial aneurysm rupture prediction with computational fluid dynamics point clouds.