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Description
  • Organ segmentation is often a first step in medical diagnostic. In this paper a fully automatic three?dimensional method for liver segmentation is presented. It is based on voxel density analysis with use of automated grow cut method. Obtained segmentation is then refined by active contours model.
  • Organ segmentation is often a first step in medical diagnostic. In this paper a fully automatic three?dimensional method for liver segmentation is presented. It is based on voxel density analysis with use of automated grow cut method. Obtained segmentation is then refined by active contours model. (en)
Title
  • An Automatic Liver Segmentation Algorithm Based on Grow Cut and Level Sets
  • An Automatic Liver Segmentation Algorithm Based on Grow Cut and Level Sets (en)
skos:prefLabel
  • An Automatic Liver Segmentation Algorithm Based on Grow Cut and Level Sets
  • An Automatic Liver Segmentation Algorithm Based on Grow Cut and Level Sets (en)
skos:notation
  • RIV/49777513:23520/13:43919549!RIV15-MSM-23520___
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 60321
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  • RIV/49777513:23520/13:43919549
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  • image segmentation, grow-cut, active contours, liver (en)
http://linked.open.../riv/klicoveSlovo
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  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [19405D081927]
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  • Pattern Recognition and Image Analysis
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  • 23
http://linked.open...iv/tvurceVysledku
  • Železný, Miloš
  • Jiřík, Miroslav
  • Ryba, Tomáš
issn
  • 1054-6618
number of pages
http://bibframe.org/vocab/doi
  • 10.1134/S1054661813040147
http://localhost/t...ganizacniJednotka
  • 23520
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