Author/Editor		Mattfeldt, Torsten; Meschenmoser, Daniel; Pantle, Ursa; Schmidt, Volker
Title		Characterization of mammary gland tissue using joint estimators of Minkowski functionals
Type		članek
Source		Image Anal Stereol
Vol. and No.		Letnik 26, št. 1
Publication year		2007
Volume		str. 13-22
Language		eng
Abstract		A theoretical approach to estimate the Minkowski functionals, i.e., area fraction, specific boundary length and specific Euler number in 2D, and their asymptotic covariance matrix proposed by Spodarev and Schmidt (2005) and Pantle et al. (2006a;b) is applied to real image data. These two-dimensional images show mammary gland tissue and should be classified automatically as tumor-free or mammary cancer, respectively. The estimation procedure is illustrated step-by-step and the calculations are described in detail. To reduce dependencies from chosen parameters, a least-squares approach is considered as recommended by Klenk et al. (2006). Emphasis is placed on the detailed description of the estimation procedure and the application of the theory to real image data.
Descriptors		BREAST NEOPLASMS IMAGE PROCESSING, COMPUTER-ASSISTED LEAST-SQUARES ANALYSIS RANDOM ALLOCATION