Application of a Probabilistic Statistical Shape Model to Automatic Segmentation

Heike Hufnagel; Jan Ehrhardt; Xavier Pennec; Heinz Handels

doi:10.1007/978-3-642-03882-2_579

Conference Papers Year : 2009

Application of a Probabilistic Statistical Shape Model to Automatic Segmentation

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1
2

Heike Hufnagel

Function : Author

Jan Ehrhardt

Function : Author

Institute of Medical Informatics [Lübeck]

Xavier Pennec

Function : Correspondent author
PersonId : 9074
IdHAL : xavier-pennec
ORCID : 0000-0002-6617-7664
IdRef : 035316489

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Analysis and Simulation of Biomedical Images

Heinz Handels

Function : Author

Abstract

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Medical Imaging Modeling and Simulation Imaging Signal and Image processing Signal and Image Processing

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https://inria.hal.science/inria-00616144

Submitted on : Friday, August 19, 2011-7:31:53 PM

Last modification on : Wednesday, March 15, 2023-8:58:09 AM

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inria-00616144 , version 1 (19-08-2011)

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HAL Id : inria-00616144 , version 1
DOI : 10.1007/978-3-642-03882-2_579

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Heike Hufnagel, Jan Ehrhardt, Xavier Pennec, Heinz Handels. Application of a Probabilistic Statistical Shape Model to Automatic Segmentation. World Congress on Medical Physics and Biomedical Engineering, WC 2009, München, 2009, no address, Germany. pp.2181--2184, ⟨10.1007/978-3-642-03882-2_579⟩. ⟨inria-00616144⟩

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Application of a Probabilistic Statistical Shape Model to Automatic Segmentation

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