000			04989nam a22004935i 4500
999			_c383162 _d383162 _x1
001			383162
003			ES-MaUEC
005			20240201134324.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220324s2022 sz a s |1|| 0|eng d
020			_a9783030983857
024	7		_a10.1007/978-3-030-98385-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC280.K5 _b2022 EB
245	0	0	_aKidney and Kidney Tumor Segmentation : _bMICCAI 2021 Challenge, KiTS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings _cedited by Nicholas Heller, Fabian Isensee, Darya Trofimova, Resha Tejpaul, Nikolaos Papanikolopoulos, Christopher Weight
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (VIII, 165 páginas) _b80 ilustraciones, 68 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aLecture Notes in Computer Science _x1611-3349 _v13168
505	0		_aAutomated kidney tumor segmentation with convolution and transformer network -- Extraction of Kidney Anatomy based on a 3D U-ResNet with Overlap-Tile Strategy -- Modified nnU-Net for the MICCAI KiTS21 Challenge -- 2.5D Cascaded Semantic Segmentation for Kidney Tumor Cyst -- Automated Machine Learning algorithm for Kidney, Kidney tumor, Kidney Cyst segmentation in Computed Tomography Scans -- Three Uses of One Neural Network: Automatic Segmentation of Kidney Tumor and Cysts Based on 3D U-Net -- Less is More: Contrast Attention assisted U-Net for Kidney, Tumor and Cyst Segmentations -- A Coarse-to-fine Framework for The 2021 Kidney and Kidney Tumor Segmentation Challenge -- Kidney and kidney tumor segmentation using a two-stage cascade framework -- Squeeze-and-Excitation Encoder-Decoder Network for Kidney and Kidney Tumor Segmentation in CT images -- A Two-stage Cascaded Deep Neural Network with Multi-decoding Paths for Kidney Tumor Segmentation -- Mixup Augmentation for Kidney and Kidney Tumor Segmentation -- Automatic Segmentation in Abdominal CT Imaging for the KiTS21 Challenge -- An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans -- Contrast-Enhanced CT Renal Tumor Segmentation -- A Cascaded 3D Segmentation Model for Renal Enhanced CT Images -- Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT -- A Coarse-to-Fine 3D U-Net Network for Semantic Segmentation of Kidney CT Scans -- 3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT -- Kidney and Kidney Tumor Segmentation using Spatial and Channel attention enhanced U-Net Transfer Learning for KiTS21 Challenge.
520			_aThis book constitutes the Second International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic. The 21 contributions presented were carefully reviewed and selected from 29 submissions. This challenge aims to develop the best system for automatic semantic segmentation of renal tumors and surrounding anatomy.
988			_aSpringer_Computer_2022
650		7	_2embne _9227820 _aRiñones _xDiagnóstico por imagen _vCongresos y asambleas
650		7	_2embne _9405899 _aImágenes tridimensionales en medicina _xConferencias
650		7	_2embne _9667242 _aRiñones _xTumores _vCongresos y asambleas
700	1		_aHeller, Nicholas _eeditor literario _0(orcid)0000-0001-8516-8707 _1https://orcid.org/0000-0001-8516-8707 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aIsensee, Fabian _eeditor literario _0(orcid)0000-0002-3519-5886 _1https://orcid.org/0000-0002-3519-5886 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTrofimova, Darya _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aTejpaul, Resha _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPapanikolopoulos, Nikolaos _eeditor literario _0(orcid)0000-0002-2177-1870 _1https://orcid.org/0000-0002-2177-1870 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aWeight, Christopher _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030983840
776	0	8	_iPrinted edition: _z9783030983864
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98385-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _esc _zSI