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Characterization of mammary gland tissue using joint estimators of Minkowski functionalsMattfeldt, Torsten ...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.Vir: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Letn. 26, št. 1, 2007, str. 13-22)Vrsta gradiva - članek, sestavni delLeto - 2007Jezik - angleškiCOBISS.SI-ID - 23914457
Avtor
Mattfeldt, Torsten |
Meschenmoser, Daniel |
Pantle, Ursa |
Schmidt, Volker
Teme
Breast Neoplasms |
Pathology |
Image Processing, Computer-Assisted |
Least-Squares Analysis |
Random Allocation |
Dojka, novotvorbe |
Slika, obdelava z računalnikom |
Najmanjši-kvadrati, analiza |
Slučajnost, razporeditev
vir: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Letn. 26, št. 1, 2007, str. 13-22)
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Mattfeldt, Torsten | |
Meschenmoser, Daniel | |
Pantle, Ursa | |
Schmidt, Volker |
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