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Klonowski, W; Stepien, P; Stepien, R; Sedivy, R; Ahammer, H; Spasic, SZ.
ANALYSIS OF ANAL INTRAEPITHELIAL NEOPLASIA IMAGES USING 1D AND 2D HIGUCHI's FRACTAL DIMENSION METHODS
FRACTALS. 2018; 26(3): 1850021
Doi: 10.1142/S0218348X18500214
Web of Science
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- Co-Autor*innen der Med Uni Graz
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Ahammer Helmut
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- Abstract:
- The ILF (Image Landscapes' Fractal Dimension) method and DF2d method obtained by a 2D generalization of Higuchi's algorithm were applied to a set of 120 digital histological images of Anal Intraepithelial Neoplasia (AIN). The main goal of this research was to examine accuracy that means sensitivity and specificity of these methods and compare the applicability of both methods in the quantitative characterization and differentiation of clinical cases of AIN. Histological examination by an experienced pathologist revealed three grades of AIN tumors in the 120 histological slices: 36 of AIN1, 56 of AIN2 and 28 of AIN3. Statistical tests showed significant differences between calculated fractal dimension values in three datasets (AIN1, AIN2 and AIN3) using ILF and DF2d methods at the level of significance of 0.05. Application of the ILF and DF2d methods has an advantage when it comes to speed, accuracy, simplicity and time necessary for analysis. Both methods can be successfully applied for differentiation between AIN stages giving practically the same results. They can easily be adapted to other histological specimen.
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Fractal Dimension
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Higuchi Algorithm
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Image Analysis
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Tumor Staging