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035   $a(DE-He213)978-3-658-07015-1
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100   $a20140818d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aDeformable Meshes for Medical Image Segmentation $eAccurate Automatic Segmentation of Anatomical Structures /$fby Dagmar Kainmueller
205   $a1st ed. 2015.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2015.
215   $a1 online resource (184 p.)
225 1 $aAktuelle Forschung Medizintechnik ? Latest Research in Medical Engineering,$x2625-9354
300   $aDescription based upon print version of record.
311   $a1-322-17259-5 
311   $a3-658-07014-5 
320   $aIncludes bibliographical references.
327   $aDeformable Meshes for Accurate Automatic Segmentation -- Omnidirectional Displacements for Deformable Surfaces (ODDS) -- Coupled Deformable Surfaces for Multi-object Segmentation.
330   $aSegmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author?s core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data. Contents Deformable Meshes for Accurate Automatic Segmentation Omnidirectional Displacements for Deformable Surfaces (ODDS) Coupled Deformable Surfaces for Multi-object Segmentation From Surface Mesh Deformations to Volume Deformations Segmentation of Anatomical Structures in Medical Image Data    Target Groups Academics and practitioners in the fields of computer science, medical imaging, and automatic segmentation.  The Author Dagmar Kainmueller works as a research scientist at the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden, Germany, with a focus on bio image analysis.  The Editor The series Aktuelle Forschung Medizintechnik ? Latest Research in Medical Engineering is edited by Thorsten M. Buzug.  .
410  0$aAktuelle Forschung Medizintechnik ? Latest Research in Medical Engineering,$x2625-9354
606   $aOptical data processing
606   $aBiomedical engineering
606   $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
615  0$aOptical data processing.
615  0$aBiomedical engineering.
615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics.
615 24$aBiomedical Engineering and Bioengineering.
676   $a006.6
676   $a616.07/540285
700   $aKainmueller$b Dagmar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0789524
906   $aBOOK
912   $a9910300194903321
996   $aDeformable Meshes for Medical Image Segmentation$91761279
997   $aUNINA