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  • Tissue segmentation has not been safisfactory solved yet. Several recent papers [3,4] brought some new pieces of knowledge into this area. However there is a lot of open questions. Improving the degree of automation of tissue segmentation is a great challenge. A new 3-step semiautomatic method was developed for tissue segmentation. The method is suitable for specifically-shaped cells. The first step includes searching for cells markers, i. e. the approximate center of each cell is localized. The localization is based on careful analysis of cell boundaries and on the assumption that the cells are sphere-like objects. The main contribution of the method is the possibility to find the cells markers without choosing the particular cells by hand. In the next step the surface of each cell is reconstructed. The procedure is based on the method for spherical object reconstruction presented in [7]. That method uses star-shaped simplex mesh to reconstruct the cell surface.
  • Tissue segmentation has not been safisfactory solved yet. Several recent papers [3,4] brought some new pieces of knowledge into this area. However there is a lot of open questions. Improving the degree of automation of tissue segmentation is a great challenge. A new 3-step semiautomatic method was developed for tissue segmentation. The method is suitable for specifically-shaped cells. The first step includes searching for cells markers, i. e. the approximate center of each cell is localized. The localization is based on careful analysis of cell boundaries and on the assumption that the cells are sphere-like objects. The main contribution of the method is the possibility to find the cells markers without choosing the particular cells by hand. In the next step the surface of each cell is reconstructed. The procedure is based on the method for spherical object reconstruction presented in [7]. That method uses star-shaped simplex mesh to reconstruct the cell surface. (en)
Title
  • Tissue image reconstruction: Localization of nuclei markers and segmentation based on deformable models
  • Tissue image reconstruction: Localization of nuclei markers and segmentation based on deformable models (en)
skos:prefLabel
  • Tissue image reconstruction: Localization of nuclei markers and segmentation based on deformable models
  • Tissue image reconstruction: Localization of nuclei markers and segmentation based on deformable models (en)
skos:notation
  • RIV/00216224:14330/03:00008575!RIV11-AV0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAB5004102), P(IBS5004010), Z(MSM 143300002)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 631076
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/03:00008575
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • image analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AC073922D8EB]
http://linked.open...v/mistoKonaniAkce
  • Hlohovec, Czech Republic
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Biophysics of the Genome
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Matula, Pavel
  • Svoboda, David
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Masaryk University
https://schema.org/isbn
  • 80-210-3226-X
http://localhost/t...ganizacniJednotka
  • 14330
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