Medical Computer Vision : Algorithms for Big Data

International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, ...

Locate

My Reading Lists:

Create a new list



Buy this book

Last edited by ImportBot
December 29, 2021 | History

Medical Computer Vision : Algorithms for Big Data

International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, ...

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.

Publish Date
Publisher
Springer
Pages
197

Buy this book

Book Details


Edition Notes

Source title: Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, ... (Lecture Notes in Computer Science (9601))

Classifications

Library of Congress
QA75.5-76.95

The Physical Object

Format
paperback
Number of pages
197

Edition Identifiers

Open Library
OL28014474M
ISBN 10
3319420151
ISBN 13
9783319420158

Work Identifiers

Work ID
OL20704668W

Community Reviews (0)

No community reviews have been submitted for this work.

Lists

History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 29, 2021 Edited by ImportBot import existing book
May 8, 2020 Created by ImportBot Imported from amazon.com record