Artículos relacionados a Medical Image Computing and Computer-Assisted Intervention...
Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings: 1679 (Lecture Notes in Computer Science) - Tapa blanda
Sinopsis
Book by None
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
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.
Reseña del editor
This book constitutes the refereed proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'99, held in Cambridge, UK, in September 1999. The 133 revised full papers presented were carefully reviewed and selected from a total of 213 full-length papers submitted. The book is divided into topical sections on data-driven segmentation, segmentation using structural models, image processing and feature detection, surfaces and shape, measurement and interpretation, spatiotemporal and diffusion tensor analysis, registration and fusion, visualization, image-guided intervention, robotic systems, and biomechanics and simulation.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer-Verlag Berlin and Heidelberg GmbH & Co. K
- Año de publicación1999
- ISBN 10 354066503X
- ISBN 13 9783540665038
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas1242
- EditorTaylor Chris, Colchester Alan
Comprar nuevo
Ver este artículo
EUR 53,49
EUR 37,60 gastos de envío desde Alemania a Estados Unidos de America
Destinos, gastos y plazos de envíoResultados de la búsqueda para Medical Image Computing and Computer-Assisted Intervention...
Imagen de archivo
Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings (Lecture Notes in Computer Science)
Librería: Bookmonger.Ltd, HILLSIDE, NJ, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Very Good. Nº de ref. del artículo: mon0000408209
Cantidad disponible: 1 disponibles
Imagen de archivo
Medical Image Computing and Computer-Assisted Intervention - Miccai'99: Second International Conference, Cambridge, Uk, September 19-22, 1999, Proceed
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.01. Nº de ref. del artículo: G354066503XI4N00
Cantidad disponible: 1 disponibles
Imagen de archivo
Medical Image Computing and Computer-Assisted Intervention - MICCAI'99: Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings (Lecture Notes in Computer Science)
Librería: GuthrieBooks, Spring Branch, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Nº de ref. del artículo: UTD14a-17639
Cantidad disponible: 1 disponibles
Imagen del vendedor
Medical Image Computing and Computer-Assisted Intervention - MICCAI'99 : Second International Conference, Cambridge, UK, September 19-22, 1999, Proceedings
Publicado por
Springer Berlin Heidelberg, 1999
ISBN 10: 354066503X
ISBN 13: 9783540665038
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540665038
Gastos de envío:
EUR 37,60
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen del vendedor
Medical Image Computing and Computer-Assisted Intervention - MICCAI 99
Publicado por
Springer Berlin Heidelberg, 1999
ISBN 10: 354066503X
ISBN 13: 9783540665038
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 4897733
Gastos de envío:
EUR 48,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Medical Image Computing and Computer-Assisted Intervention - MICCAI'99
Publicado por
Springer Berlin Heidelberg Sep 1999, 1999
ISBN 10: 354066503X
ISBN 13: 9783540665038
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540665038
Gastos de envío:
EUR 23,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles