Cantitate/Preț
Produs

Deformable Meshes for Medical Image Segmentation: Accurate Automatic Segmentation of Anatomical Structures: Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering

Autor Dagmar Kainmueller
en Limba Engleză Paperback – 29 aug 2014
​ Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author’s core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data.​
Citește tot Restrânge

Din seria Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering

Preț: 29091 lei

Preț vechi: 36365 lei
-20%

Puncte Express: 436

Preț estimativ în valută:
5570 6039$ 4746£

Carte tipărită la comandă

Livrare economică 04-18 iulie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783658070144
ISBN-10: 3658070145
Pagini: 198
Ilustrații: XVIII, 180 p. 52 illus., 30 illus. in color.
Dimensiuni: 148 x 210 x 15 mm
Greutate: 0.25 kg
Ediția:2015
Editura: Springer Fachmedien Wiesbaden
Colecția Springer Vieweg
Seria Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering

Locul publicării:Wiesbaden, Germany

Public țintă

Research

Cuprins

Deformable Meshes for Accurate Automatic Segmentation.- Omnidirectional Displacements for Deformable Surfaces (ODDS).- Coupled Deformable Surfaces for Multi-object Segmentation. ​

Notă biografică

Dagmar Kainmueller works as a research scientist at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, with a focus on bio image analysis.

Textul de pe ultima copertă

Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author’s core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data.
Contents
  • Deformable Meshes for Accurate Automatic Segmentation
  • Omnidirectional Displacements for Deformable Surfaces (ODDS)
  • Coupled Deformable Surfaces for Multi-object Segmentation
  • From Surface Mesh Deformations to Volume Deformations
  • Segmentation of Anatomical Structures in Medical Image Data   
Target Groups
Academics and practitioners in the fields of computer science, medical imaging, and automatic segmentation.
 The Author
Dagmar Kainmueller works as a research scientist at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, with a focus on bio image analysis.
 The Editor
The series Aktuelle Forschung Medizintechnik – Latest Research in Medical Engineering is edited by Thorsten M. Buzug.
 

Caracteristici

Publication in the field of technical sciences?
Includes supplementary material: sn.pub/extras