Author/Editor		Mrkvička, Tomaš; Mattfeldt, Torsten
Title		Testing histological images of mammary tissues on compatibility with the Boolean model of random sets
Type		članek
Source		Image Anal Stereol
Vol. and No.		Letnik 30, št. 1
Publication year		2011
Volume		str. 11-8
Language		eng
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.
Descriptors		BREAST NEOPLASMS IMAGE PROCESSING, COMPUTER-ASSISTED RANDOM ALLOCATION MONTE CARLO METHOD