Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings - Lecture Notes in Computer Science 1679 (Paperback)
  • Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings - Lecture Notes in Computer Science 1679 (Paperback)
zoom

Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings - Lecture Notes in Computer Science 1679 (Paperback)

(editor), (editor)
£72.00
Paperback 1242 Pages / Published: 08/09/1999
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket
Abnormal white matter of the brain is common to patients with one of s- eral di?erent diseases (including multiple sclerosis (MS) and Alzheimer's d- ease (AD)) and also appears in normal (asymptomatic) aging (NA) subjects. Better characterization of the nature of these white matter changes can help to improve our understanding of the biological processes at work. Clinically, it is interesting to be able to di?erentiate between di?erent disease states and to ?nd markerswhich allowearlydiagnosis.Conventionalspin echo magnetic resonance imaging is sensitive to these white matter changes. MRI studies of patients and volunteershaveindicatedthatthepatternsofbrainchangeassociatedwiththese processes are di?erent. An important goal is to be able to quantitatively study these di?erences. Many automated and semi-automated segmentation algorithms for quan- tatively assessing these brain changes have been developed and validated. Most of these algorithms have aimed at determining a binary characterization of each voxelas one of a groupof possible tissue classes.This approachhas been limited bytwofactors.First,abnormalwhitematter isoftenisointensewithnormalgrey matter and previous studies have been limited by the inability to discriminate between some abnormal white matter and normal grey matter [1,2]. Secondly, white matter damage appears as an heterogenous region of abnormal signal - tensity but binarization of the segmentation treats all levels of signal intensity abnormality equally.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783540665038
Number of pages: 1242
Weight: 1946 g
Dimensions: 235 x 155 mm
Edition: 1999 ed.

You may also be interested in...

Machine Learning
Added to basket
The Elements of Statistical Learning
Added to basket
Dark Pools
Added to basket
£9.99
Paperback
Introduction to Machine Learning
Added to basket
Principles of Computer Hardware
Added to basket
The Mythical Man-Month
Added to basket
Networks: A Very Short Introduction
Added to basket
Git for Teams
Added to basket
£39.99
Paperback
Bioinformatics For Dummies
Added to basket
Machine Learning for Hackers
Added to basket
The Singularity is Near
Added to basket
Using Docker
Added to basket
£47.99
Paperback
Emotion: A Very Short Introduction
Added to basket
Business Analysis Techniques
Added to basket
Artificial Intelligence: The Basics
Added to basket
Introducing Artificial Intelligence
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.