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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deformable Meshes for Medical Image Segmentation: Accurate Automatic Segmentation of Anatomical Structures

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

Kainmueller, Dagmar

Paperback

Series: Aktuelle Forschung Medizintechnik - Latest Research in Medic

Technology & EngineeringGeneral ComputersProgramming

ISBN10: 3658070145
ISBN13: 9783658070144
Publisher: Springer Nature
Published: Aug 29 2014
Pages: 180
Weight: 0.54
Height: 0.42 Width: 5.83 Depth: 8.27
Language: English
​ 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.​

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