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020 _a9780387683430
_99780387683430
024 7 _a10.1007/9780387683430
_2doi
035 _avtls000331853
039 9 _a201509030214
_bVLOAD
_c201404121939
_dVLOAD
_c201404091706
_dVLOAD
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_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aR856-857
100 1 _aSuri, Jasjit S.
_eautor
_9300098
245 1 0 _aDeformable Models :
_bTheory and Biomaterial Applications /
_cby Jasjit S. Suri, Aly A. Farag.
264 1 _aNew York, NY :
_bSpringer New York,
_c2007.
300 _axvI, 584 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aTopics in Biomedical Engineering. International Book Series
500 _aSpringer eBooks
505 0 _aT-Surfaces Framework For Offset Generation And Semiautomatic 3d Segmentation -- Parametric Contour Model In Medical Image Segmentation -- Deformable Models And Their Application In Segmentation Of Imaged Pathology Specimens -- Image Segmentation Using The Level Set Method -- Parallel Co-Volume Subjective Surface Method For 3d Medical Image Segmentation -- Volumetric Segmentation Using Shape Models In The Level Set Framework -- Medical Image Segmentation Based On Deformable Models And Its Applications -- Breast Strain Imaging: A Cad Framework -- Alternate Spaces For Model Deformation: Application Of Stop And Go Active Models To Medical Images -- Deformable Model-Based Segmentation Of The Prostate From Ultrasound Images -- Segmentation Of Brain Mr Images Using J-Divergence Based Active Contour Models -- Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations -- Efficient Kernel Density Estimation Of Shape And Intensity Priors For Level Set Segmentation -- Volumetric Mri Analysis Of Dyslexic Subjects Using A Level Set Framework -- Analysis Of 4-D Cardiac Mr Data With Nurbs Deformable Models: Temporal Fitting Strategy And Nonrigid Registration -- Robust Neuroimaging-Based Classification Techniques Of Autistic Vs. Typically Developing Brain.
520 _aDeformable Models: Theory and Biomaterial Applications is the second installation in the two-volume set Deformable Models which provides a wide cross-section of the methods and algorithms of variational and PDE methods in biomedical image analysis. The chapters are written by well-known researchers in this field, and the presentation style goes beyond an intricate abstraction of the theory into real application of the methods and description of the algorithms that were implemented. As such these chapters will serve the main goal of the editors of the volumes in bringing down to earth the latest in variational and PDE methods in modeling of soft tissues, covering the theory, algorithms, and applications of level sets and deformable models in medical image analysis. Overall, the chapters of this volume provide an elegant cross-section of the theory and application of variational and PDE approaches in medical image analysis. Graduate students and researchers at various levels of familiarity with these techniques will find the volume very useful for understanding the theory and algorithmic implementations. In addition, the various case studies provided demonstrate the power of these techniques in clinical applications. Researchers at various levels will find these chapters useful to understand the theory, algorithms, and implementation of many of these approaches.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aFarag, Aly A.
_eautor
_9304339
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387312040
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-0-387-68343-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c279811
_d279811