Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I /

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Megjelenés: Cham : Springer International Publishing, 2017
Sorozat:Lecture Notes in Computer Science ; 10433
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Online elérés:https://doi.org/10.1007/978-3-319-66182-7
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id opac-EUL01-000954554
collection e-book
institution L_042
EUL01
spelling Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I / edited by Maxime Descoteaux [et.al]
Cham Springer International Publishing 2017
XLVI, 811 p. ill.
szöveg txt rdacontent
számítógépes c rdamedia
távoli hozzáférés cr rdacarrier
szövegfájl PDF rda
Lecture Notes in Computer Science 10433
The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in Quebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Nyomtatott kiadás: ISBN 9783319661810
Nyomtatott kiadás: ISBN 9783319661834
Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők.
könyv
e-book
Computer vision. EUL10000467498 Y
számítógépes látás informatika EUL10000467497 Y
Image Processing and Computer Vision.
elektronikus könyv
Descoteaux, Maxime szerk. EUL10001012285 Y
SpringerLink (Online service) közreadó testület
Lecture notes in computer science EUL10000129755 Y
LNCS EUL10000129755 N
Online változat https://doi.org/10.1007/978-3-319-66182-7
Cham Springer International Publishing Imprint: Springer 2017
EUL01
language English
format Book
author2 Descoteaux, Maxime, szerk.
author_facet Descoteaux, Maxime, szerk.
SpringerLink (Online service), közreadó testület
author_corporate SpringerLink (Online service), közreadó testület
author_sort Descoteaux, Maxime
title Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I
spellingShingle Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I
Lecture Notes in Computer Science ; 10433
Computer vision.
számítógépes látás -- informatika
Image Processing and Computer Vision.
elektronikus könyv
title_sub 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I /
title_short Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
title_full Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I / edited by Maxime Descoteaux [et.al]
title_fullStr Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I / edited by Maxime Descoteaux [et.al]
title_full_unstemmed Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I / edited by Maxime Descoteaux [et.al]
title_auth Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I /
title_sort medical image computing and computer assisted intervention − miccai 2017 20th international conference quebec city qc canada september 11 13 2017 proceedings part i
series Lecture Notes in Computer Science ; 10433
series2 Lecture notes in computer science
LNCS
publishDate 2017
publishDateSort 2017
physical XLVI, 811 p. : ill.
isbn 978-3-319-66182-7
callnumber-first T - Technology
callnumber-subject TA - General and Civil Engineering
callnumber-label TA1637-1638
callnumber-raw 13905
callnumber-search 13905
topic Computer vision.
számítógépes látás -- informatika
Image Processing and Computer Vision.
elektronikus könyv
topic_facet Computer vision.
számítógépes látás -- informatika
Image Processing and Computer Vision.
elektronikus könyv
Computer vision.
számítógépes látás
Image Processing and Computer Vision.
informatika
url https://doi.org/10.1007/978-3-319-66182-7
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.6
006.37
dewey-sort 16.6
dewey-raw 006.6
006.37
dewey-search 006.6
006.37
first_indexed 2023-12-26T23:17:38Z
last_indexed 2023-12-29T19:19:17Z
recordtype opac
publisher Cham : Springer International Publishing
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generalnotes The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held in Quebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.