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  • The article focuses on the application of a segmentation algorithm based on the numerical solution of the Allen-Cahn non-linear diffusion partial differential equation. This equation is related to {the} motion of curves by mean curvature. It exhibits several suitable mathematical properties including stable solution profile. This allows the user to follow accurately {the} position of the segmentation curve {by bringing} it quickly to the vicinity of the segmented object and {by approaching the details of the segmentation curve}. The purpose of the article is to indicate how the algorithm parameters are set up and to show how the algorithm behaves when applied to the particular class of medical data.
  • The article focuses on the application of a segmentation algorithm based on the numerical solution of the Allen-Cahn non-linear diffusion partial differential equation. This equation is related to {the} motion of curves by mean curvature. It exhibits several suitable mathematical properties including stable solution profile. This allows the user to follow accurately {the} position of the segmentation curve {by bringing} it quickly to the vicinity of the segmented object and {by approaching the details of the segmentation curve}. The purpose of the article is to indicate how the algorithm parameters are set up and to show how the algorithm behaves when applied to the particular class of medical data. (en)
Title
  • Segmentation of MRI data by means of nonlinear diffusion
  • Segmentation of MRI data by means of nonlinear diffusion (en)
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  • Segmentation of MRI data by means of nonlinear diffusion
  • Segmentation of MRI data by means of nonlinear diffusion (en)
skos:notation
  • RIV/68407700:21340/13:00211571!RIV14-MSM-21340___
http://linked.open...avai/riv/aktivita
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  • 104424
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  • RIV/68407700:21340/13:00211571
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  • cardiac MRI; co-volume method; image segmentation; level set method; PDE (en)
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  • [F9430297E43B]
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  • Máca, Radek
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  • 21340
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