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020			_a9783030728625
024	7		_a10.1007/978-3-030-72862-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC78.7.D53 _b2021 EB
245	0	0	_aCerebral Aneurysm Detection : _bFirst Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings _cedited by Anja Hennemuth, Leonid Goubergrits, Matthias Ivantsits, Jan-Martin Kuhnigk
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (X, 113 páginas) _b47 ilustraciones, 41 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aImage Processing Computer Vision Pattern Recognition and Graphics _v12643
505	0		_aOverview 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.
520	3		_aThis 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.
988			_aSpringer_Computer_2021
650		7	_2embne _aDiagnóstico por imagen _vCongresos y asambleas _9139972
650		7	_2embne _9672049 _aAneurismas _vCongresos y asambleas
700	1		_aHennemuth, Anja _eeditor literario _0(orcid)0000-0002-0737-7375 _1https://orcid.org/0000-0002-0737-7375 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aGoubergrits, Leonid _eeditor literario _0(orcid)0000-0002-1961-3179 _1https://orcid.org/0000-0002-1961-3179 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aIvantsits, Matthias _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKuhnigk, Jan-Martin _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
776	0	8	_iPrinted edition: _z9783030728618
776	0	8	_iPrinted edition: _z9783030728632
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72862-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _ek _zSI