Deformable Meshes for Medical Image Segmentation - Accurate Automatic Segmentation of Anatomical Structures (Paperback, 2015 ed.)

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.

General

Imprint:	Springer Vieweg
Country of origin:	Germany
Series:	Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering
Release date:	August 2014
First published:	2015
Authors:	Dagmar Kainmueller
Dimensions:	210 x 148 x 11mm (L x W x T)
Format:	Paperback
Pages:	180
Edition:	2015 ed.
ISBN-13:	978-3-658-07014-4
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-658-07014-5
Barcode:	9783658070144

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