000 04389nam a22006495i 4500
001 978-3-030-61056-2
003 DE-He213
005 20240423125324.0
007 cr nn 008mamaa
008 201002s2020 sz | s |||| 0|eng d
020 _a9783030610562
_9978-3-030-61056-2
024 7 _a10.1007/978-3-030-61056-2
_2doi
050 4 _aTA1634
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQV
_2thema
082 0 4 _a006.37
_223
245 1 0 _aShape in Medical Imaging
_h[electronic resource] :
_bInternational Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings /
_cedited by Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Orcun Goksel, Islem Rekik.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aVIII, 156 p. 72 illus., 61 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12474
505 0 _aMethods -- Composition of Transformations in the Registration of Sets of Points or Oriented Points -- Uncertainty reduction in contour-based 3D/2D registration of bone surfaces -- Learning Shape Priors from Pieces -- Bi-invariant Two-Sample Tests in Lie Groups for Shape Analysis -- Learning -- Uncertain-DeepSSM: From Images to Probabilistic Shape Models -- D-Net: Siamese based Network for Arbitrarily Oriented Volume Alignment -- A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data From the Osteoarthritis Initiative -- Interpretation of Brain Morphology in Association to Alzheimer’s Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes -- Applications -- Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints -- Learning a statistical full spine model from partial observations -- Morphology-based individual vertebrae classification -- Patient Specific Classification of Dental Root Canal and Crown Shape.
520 _aThis book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assistend Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru, but changed to a virtual format due to the COVID-19 pandemic. The 12 full papers included in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections named: methods; learning; and applications.
650 0 _aComputer vision.
650 0 _aApplication software.
650 0 _aMachine learning.
650 0 _aComputers, Special purpose.
650 0 _aPattern recognition systems.
650 1 4 _aComputer Vision.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aMachine Learning.
650 2 4 _aSpecial Purpose and Application-Based Systems.
650 2 4 _aAutomated Pattern Recognition.
700 1 _aReuter, Martin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWachinger, Christian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLombaert, Hervé.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aPaniagua, Beatriz.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGoksel, Orcun.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRekik, Islem.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030610555
776 0 8 _iPrinted edition:
_z9783030610579
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v12474
856 4 0 _uhttps://doi.org/10.1007/978-3-030-61056-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c176680
_d176680