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  • Methods for testing the Boolean model assumption from binary images are briefly reviewed. Two hundred binary images of mammary cancer tissue and 200 images of mastopathic tissue were tested individually on the Boolean model assumption. In a previous paper, it had been found that a Monte Carlo method based on the approximation of the envelopes by a multi-normal distribution with the normalized intrinsic volume densities of parallel sets as a summary statistics had the highest power for this purpose (Mrkvicka, 2009). Hence, this method was used here as its first application to real biomedical data. It was found that mastopathic tissue deviates from the Boolean model significantly more strongly than mammary cancer tissue does.
  • Methods for testing the Boolean model assumption from binary images are briefly reviewed. Two hundred binary images of mammary cancer tissue and 200 images of mastopathic tissue were tested individually on the Boolean model assumption. In a previous paper, it had been found that a Monte Carlo method based on the approximation of the envelopes by a multi-normal distribution with the normalized intrinsic volume densities of parallel sets as a summary statistics had the highest power for this purpose (Mrkvicka, 2009). Hence, this method was used here as its first application to real biomedical data. It was found that mastopathic tissue deviates from the Boolean model significantly more strongly than mammary cancer tissue does. (en)
Title
  • Testing histological images of mammary tissues on compatibility with the Boolean model of random sets
  • Testing histological images of mammary tissues on compatibility with the Boolean model of random sets (en)
skos:prefLabel
  • Testing histological images of mammary tissues on compatibility with the Boolean model of random sets
  • Testing histological images of mammary tissues on compatibility with the Boolean model of random sets (en)
skos:notation
  • RIV/60076658:12510/11:43880110!RIV12-GA0-12510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP201/10/0472)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 234899
http://linked.open...ai/riv/idVysledku
  • RIV/60076658:12510/11:43880110
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  • stereology; random sets; pathology; goodness-of-fit test; breast cancer; Boolean model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • SI - Slovinská republika
http://linked.open...ontrolniKodProRIV
  • [5DC472B9FB56]
http://linked.open...i/riv/nazevZdroje
  • Image analysis and Stereology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 30
http://linked.open...iv/tvurceVysledku
  • Mrkvička, Tomáš
  • Mattfeldt, Torsten
issn
  • 1580-3139
number of pages
http://localhost/t...ganizacniJednotka
  • 12510
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