Medical Computer Vision: Algorithms for Big Data -

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
Buch | Softcover
XI, 211 Seiten
2014 | 2014
Springer International Publishing (Verlag)
978-3-319-13971-5 (ISBN)
51,36 inkl. MwSt
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.

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

Erscheint lt. Verlag 22.12.2014
Reihe/Serie Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Zusatzinfo XI, 211 p. 78 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 349 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • Big Data • Computergrafik • computerized tomography • computer vision • conference proceedings • Education • graph theory • Image Analysis • Image Processing • Image Segmentation • Informatics • Mensch-Computer-Interaktion • Mustererkennung • Research
ISBN-10 3-319-13971-1 / 3319139711
ISBN-13 978-3-319-13971-5 / 9783319139715
Zustand Neuware
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