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Medical Computer Vision: Algorithms for Big Data: Lecture Notes in Computer Science

Editat de Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Müller, Shaoting Zhang, Weidong (Tom) Cai, Dimitris Metaxas
en Limba Engleză Paperback – 22 dec 2014
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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Specificații

ISBN-13: 9783319139715
ISBN-10: 3319139711
Pagini: 224
Ilustrații: XI, 211 p. 78 illus.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.35 kg
Ediția:2014
Editura: Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Automatic segmentation and registration.- Localization of anatomical features.- Detection of anomalies.

Caracteristici

Up-to-date results Fast track conference proceedings State-of-the-art report Includes supplementary material: sn.pub/extras