Einband gross Medical Computer Vision: Algorithms for Big Data

Medical Computer Vision: Algorithms for Big Data

von

Cai, Weidong (Tom) (Editor)Menze, BjoernHrsg.Langs, GeorgHrsg.Montillo, AlbertHrsg.Kelm, MichaelHrsg.Müller, HenningHrsg.Zhang, ShaotingHrsg.Metaxas, DimitrisHrsg.

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211 Seiten

Englisch

Springer International Publishingerschienen am09.12.20142014

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.mehr

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KlappentextThis 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.

Details

Weitere ISBN/GTIN9783319139722

ProduktartE-Book

EinbandartE-Book

FormatPDF

Format Hinweis1 - PDF Watermark

FormatE107

Verlag

Springer International Publishing

Erscheinungsjahr2014

Erscheinungsdatum09.12.2014

Auflage2014