
Information Processing in Medical Imaging
Kluwer Academic Publishers
Published on 30. June 1995
Book
Hardback
XII, 410 pages
978-0-7923-3593-1 (ISBN)
Description
This volume contains the papers presented at the 14th International Conference on Information Processing in Medical Imaging. IPMI meetings have a a strong emphasis on the clinical relevance and validation of medical imaging. This book covers the whole spectrum: acquisition, tomographic reconstruction, registration, segmentation, knowledge-based analysis, display and image quality as well as several important applications. Several papers present significant advances in topics already discussed at previous meetings while others deal with new topics and methodology, opening new horizons in medical imaging. In addition to the 28 full-length papers, 30 short communications are included to sample the most current work in progress.
Audience: An up-to-date and complete overview of ongoing research in medical imaging, beneficial to all physicists, computer scientists and physicians who wish to remain informed on state-of-the-art methodology in medical imaging.
Audience: An up-to-date and complete overview of ongoing research in medical imaging, beneficial to all physicists, computer scientists and physicians who wish to remain informed on state-of-the-art methodology in medical imaging.
More details
Series
Edition
1995 ed.
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
XII, 410 p.
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 24 mm
Weight
948 gr
ISBN-13
978-0-7923-3593-1 (9780792335931)
Schweitzer Classification
Other editions
Additional editions

Yves Bizais | Christian Barillot | Robert Di Paola
Information Processing in Medical Imaging
Book
04/2011
Springer
€106.50
Shipment within 15-20 days
Content
Part 1. Long papers on: Image formation. Bayesian tomographic reconstruction. Tomographic reconstruction and image quality. Image matching. Model based image segmentation. Shape description. Segmentation. Image understanding. Image registration. Functional imaging. Applications. Part 2. Short papers on: Image formation, tomographic reconstruction and image quality. Shape description. Image segmentation. Image registration. Applications.