Cerebral aneurysm detection : first challenge, CADA 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, proceedings / Anja Hennemuth, Leonid Goubergrits, Matthias Ivantsits, Jan-Martin Kuhnigk (eds.).
Cerebral Aneurysm Detection and Analysis (1st : 2020 : Online); Hennemuth, Anja, editor.; Goubergrits, Leonid, editor.; Ivantsits, Matthias, editor.; Kuhnigk, Jan-Martin, editor.; International Conference on Medical Image Computing and Computer-Assisted Intervention (23rd : 2020 : Online)
2021
RC78.7.D53
Available Online

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Title Cerebral aneurysm detection : first challenge, CADA 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, proceedings / Anja Hennemuth, Leonid Goubergrits, Matthias Ivantsits, Jan-Martin Kuhnigk (eds.).
Meeting Name Cerebral Aneurysm Detection and Analysis (1st : 2020 : Online)
ISBN 9783030728625 (electronic bk.)
3030728625 (electronic bk.)
9783030728618
DOI https://doi.org/10.1007/978-3-030-72862-5
Published Cham : Springer, [2021]
Language English
Description 1 online resource (x, 113 pages) : illustrations (chiefly color)
Item Number 10.1007/978-3-030-72862-5 doi
Call Number RC78.7.D53
Dewey Decimal Classification 616.07/54
Summary 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, and took place virtually due to the COVID-19 pandemic. The 9 regular papers presented in this volume, together with an overview and one introduction paper, were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: cerebral aneurysm detection; cerebral aneurysm segmentation; and cerebral aneurysm rupture risk estimation.
Note International conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 21, 2021).
Added Author Hennemuth, Anja, editor.
Goubergrits, Leonid, editor.
Ivantsits, Matthias, editor.
Kuhnigk, Jan-Martin, editor.
Added Meeting Name International Conference on Medical Image Computing and Computer-Assisted Intervention (23rd : 2020 : Online)
Series Lecture notes in computer science ; 12643.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Available in Other Form Print version: 9783030728618
Print version: 9783030728632
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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