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Testing histological images of mammary tissues on compatibility with the Boolean model of random setsMrkvička, Tomáš ; Mattfeldt, TorstenMethods 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. Hence, this method was usedhere as its first application to real biomedical data. It was found that mastopathic tissue deviates from the Boolean model significantly more stronglythan mammary cancer tissue does.Source: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Vol. 30, no. 1, mar. 2011, str. 11-18)Type of material - article, component partPublish date - 2011Language - englishCOBISS.SI-ID - 28384217
Author
Mrkvička, Tomáš |
Mattfeldt, Torsten
Topics
Breast Neoplasms |
Pathology |
Image Processing, Computer-Assisted |
Random Allocation |
Monte Carlo Method |
Dojka, novotvorbe |
Slika, obdelava z računalnikom |
Slučajnost, razporeditev |
Monte Carlo, metoda |
stereologija |
rak dojke |
metoda Monte Carlo
source: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Vol. 30, no. 1, mar. 2011, str. 11-18)
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Mrkvička, Tomáš | |
Mattfeldt, Torsten |
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