Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, . Vision, Pattern Recognition, and Graphics)

ISBN 10: 3319139711 ISBN 13: 9783319139715

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This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and "big data" algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The 18 full and 1 short papers presented in this volume were carefully reviewed and selected from 30 submission.

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Titre : Medical Computer Vision: Algorithms for Big ...
�diteur : Springer
Date d'�dition : 2014
Reliure : Couverture souple
Etat : New

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Medical Computer Vision: Algorithms for Big Data

Menze, Bjoern|Langs, Georg|Montillo, Albert

Edit� par Springer International Publishing, 2014

ISBN 10 : 3319139711 ISBN 13 : 9783319139715

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Up-to-date resultsFast track conference proceedingsState-of-the-art reportThis book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV. N� de r�f. du vendeur 4499454

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Medical Computer Vision: Algorithms for Big Data | International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

Bjoern Menze (u. a.)

Edit� par Springer, 2014

ISBN 10 : 3319139711 ISBN 13 : 9783319139715

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Taschenbuch. Etat : Neu. Medical Computer Vision: Algorithms for Big Data | International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers | Bjoern Menze (u. a.) | Taschenbuch | xi | Englisch | 2014 | Springer | EAN 9783319139715 | Verantwortliche Person f�r die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N� de r�f. du vendeur 104971447

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Medical Computer Vision: Algorithms for Big Data : International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, Septemb

Menze, Bjoern

Edit� par Springer 2014-12, 2014

ISBN 10 : 3319139711 ISBN 13 : 9783319139715

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Medical Computer Vision: Algorithms for Big Data : International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

Bjoern Menze

Edit� par Springer International Publishing, Springer International Publishing, 2014

ISBN 10 : 3319139711 ISBN 13 : 9783319139715

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and 'big data' algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The 18 full and 1 short papers presented in this volume were carefully reviewed and selected from 30 submission. N� de r�f. du vendeur 9783319139715

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Medical Computer Vision: Algorithms for Big Data

Bjoern Menze

Edit� par Springer International Publishing Dez 2014, 2014

ISBN 10 : 3319139711 ISBN 13 : 9783319139715

Neuf Taschenbuch

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and 'big data' algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The 18 full and 1 short papers presented in this volume were carefully reviewed and selected from 30 submission. 224 pp. Englisch. N� de r�f. du vendeur 9783319139715

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Medical Computer Vision: Algorithms for Big Data

Bjoern Menze

Edit� par Springer International Publishing, Springer International Publishing Dez 2014, 2014

ISBN 10 : 3319139711 ISBN 13 : 9783319139715

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and 'big data' algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The 18 full and 1 short papers presented in this volume were carefully reviewed and selected from 30 submission.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 224 pp. Englisch. N� de r�f. du vendeur 9783319139715

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