Deformable Meshes for Medical Image Segmentation: Accurate Automatic Segmentation of Anatomical Structures by Dagmar KainmuellerDeformable Meshes for Medical Image Segmentation: Accurate Automatic Segmentation of Anatomical Structures by Dagmar Kainmueller

Deformable Meshes for Medical Image Segmentation: Accurate Automatic Segmentation of Anatomical…

byDagmar Kainmueller

Paperback | August 29, 2014

Pricing and Purchase Info

$123.83 online 
$124.50 list price
Earn 619 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

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.
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.
Loading
Title:Deformable Meshes for Medical Image Segmentation: Accurate Automatic Segmentation of Anatomical…Format:PaperbackProduct dimensions:180 pages, 21 × 14.8 × 0.01 inShipping dimensions:21 × 14.8 × 0.01 inPublished:August 29, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3658070145

ISBN - 13:9783658070144

Reviews

Table of Contents

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