TESTING HISTOLOGICAL IMAGES OF MAMMARY TISSUES ON COMPATIBILITY WITH THE BOOLEAN MODEL OF RANDOM SETS

Authors

  • Tomáš Mrkvička
  • Torsten Mattfeldt

DOI:

https://doi.org/10.5566/ias.v30.p11-18

Keywords:

Boolean model, breast cancer, goodness-of-fit test, pathology, random sets, stereology

Abstract

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. 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.

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Published

2011-03-01

How to Cite

Mrkvička, T., & Mattfeldt, T. (2011). TESTING HISTOLOGICAL IMAGES OF MAMMARY TISSUES ON COMPATIBILITY WITH THE BOOLEAN MODEL OF RANDOM SETS. Image Analysis and Stereology, 30(1), 11–18. https://doi.org/10.5566/ias.v30.p11-18

Issue

Section

Original Research Paper