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Deformable Meshes for Medical Image Segmentation
Dagmar Kainmueller
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Description for Deformable Meshes for Medical Image Segmentation
Paperback. Series: Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering. Num Pages: 198 pages, 22 black & white illustrations, 30 colour illustrations, biography. BIC Classification: MQW; UYQV. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 11. Weight in Grams: 268.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
198
Condition
New
Series
Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering
Number of Pages
180
Place of Publication
Weisbaden, Germany
ISBN
9783658070144
SKU
V9783658070144
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Dagmar Kainmueller
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.
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