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Edité par Springer, 1999
ISBN 10 : 354066503XISBN 13 : 9783540665038
Vendeur : GuthrieBooks, Spring Branch, TX, Etats-Unis
Livre
Paperback. Etat : Very Good. Ex-library paperback in very nice condition with the usual markings and attachments.
Edité par Springer, 1999
ISBN 10 : 354066503XISBN 13 : 9783540665038
Vendeur : Bookmonger.Ltd, HILLSIDE, NJ, Etats-Unis
Livre
Paperback. Etat : Very Good.
Edité par Springer, 1999
ISBN 10 : 354066503XISBN 13 : 9783540665038
Vendeur : medimops, Berlin, Allemagne
Livre
Etat : good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Edité par Springer, 1999
ISBN 10 : 354066503XISBN 13 : 9783540665038
Vendeur : Irish Booksellers, Portland, ME, Etats-Unis
Livre
Etat : Good. SHIPS FROM USA. Used books have different signs of use and do not include supplemental materials such as CDs, Dvds, Access Codes, charts or any other extra material. All used books might have various degrees of writing, highliting and wear and tear and possibly be an ex-library with the usual stickers and stamps. Dust Jackets are not guaranteed and when still present, they will have various degrees of tear and damage. All images are Stock Photos, not of the actual item. book.
Edité par Springer Berlin Heidelberg, 1999
ISBN 10 : 354066503XISBN 13 : 9783540665038
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Livre
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Edité par Springer Berlin Heidelberg, 1999
ISBN 10 : 354066503XISBN 13 : 9783540665038
Vendeur : moluna, Greven, Allemagne
Livre impression à la demande
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data-Driven Segmentation.- Segmentation of Meningiomas and Low Grade Gliomas in MRI.- Automated Segmentation of MS Lesions from Multi-channel MR Images.- Measurement of Infarct Volume in Stroke Patients Using Adaptive Segmentation of Diffusion Weighted MR I.
Edité par Springer Berlin Heidelberg Sep 1999, 1999
ISBN 10 : 354066503XISBN 13 : 9783540665038
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Livre impression à la demande
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 1288 pp. Englisch.