Image Processing, Computer Vision, Pattern Recognition, and Graphics

Computer Vision Approaches to Medical Image Analysis

Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006, Revised Papers

Editors: Beichel, Reinhard R., Sonka, Milan (Eds.)

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About this book

Medical imaging and medical image analysis are developing rapidly. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. This was the second time that a satellite workshop,solely devoted to medical image analysis issues, was held in conjunction with the European Conference on Computer Vision (ECCV), and we are optimistic that this will become a tradition at ECCV. We received 38 full-length paper submissions to the second Computer Vision Approaches to Medical Image Analysis (CVAMIA) Workshop, out of which 10 were accepted for oral and 11 for poster presentation after a rigorous peer-review process. In addition, the workshop included three invited talks. The ?rst was given by Maryellen Giger from the University of Chicago, USA — titled “Multi-Modality Breast CADx”.

Table of contents (22 chapters)

Table of contents (22 chapters)
  • Melanoma Recognition Using Representative and Discriminative Kernel Classifiers

    Tommasi, Tatiana (et al.)

    Pages 1-12

  • Detection of Connective Tissue Disorders from 3D Aortic MR Images Using Independent Component Analysis

    Hansen, Michael Sass (et al.)

    Pages 13-24

  • Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI

    Madabhushi, Anant (et al.)

    Pages 25-36

  • Accurate Measurement of Cartilage Morphology Using a 3D Laser Scanner

    Trinh, Nhon H. (et al.)

    Pages 37-48

  • Quantification of Growth and Motion Using Non-rigid Registration

    Rueckert, D. (et al.)

    Pages 49-60

Buy this book

eBook $74.99
price for USA in USD (gross)
  • ISBN 978-3-540-46258-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA in USD
  • ISBN 978-3-540-46257-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computer Vision Approaches to Medical Image Analysis
Book Subtitle
Second International ECCV Workshop, CVAMIA 2006, Graz, Austria, May 12, 2006, Revised Papers
Editors
  • Reinhard R. Beichel
  • Milan Sonka
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
4241
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-46258-3
DOI
10.1007/11889762
Softcover ISBN
978-3-540-46257-6
Edition Number
1
Number of Pages
XII, 264
Topics