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008			140818s2015 gw | s |||| 0|eng d
020			_a9783658070151
040			_aES-MaUEC
050		4	_aTA1638.4 _b2015 EB
082	0	4	_a006.6
100	1		_aKainmueller, Dagmar _995526 _0Local
245	1	0	_aDeformable Meshes for Medical Image Segmentation : _bAccurate Automatic Segmentation of Anatomical Structures _cby Dagmar Kainmueller
260			_aWiesbaden _bSpringer _c2015
300			_a1 recurso en línea (XVIII, 180 p.) 52 il., 30 il. col.
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
338			_aonline resource _bcr _2rdacarrier
490	1		_aAktuelle Forschung Medizintechnik â€{u0321}test Research in Medical Engineering
520			_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 authorâ€{u3823}ore 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 DataÂ{u2802}Â{u0521}rget Groups Academics and practitioners in the fields of computer science, medical imaging, and automatic segmentation. Â{u4A25} 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. Â{u4A25} Editor The series Aktuelle Forschung Medizintechnik â€{u0321}test Research in Medical Engineering is edited by Thorsten M. Buzug. Â{uE000}
942			_2lcc _cLE
650		7	_aImágenes _9143872 _0comprobar BNE19902559247 _2embne
650		7	_aSistemas de imágenes en medicina _9167079 _0comprobar BNE20062575302 _2embne
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-658-07015-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907			_a.b12911641 _b10-10-17 _c10-02-16
988			_aSpringer_Medicine_2015
998			_am _a_alco _a_vill _b14-12-16 _cm _dz _ea _feng _ggw _h0
945			_aTA1638.4 K356 2015 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11579328 _z06-04-17
999			_c82524 _d82524 _x1