Analysis of anal intraepithelial neoplasia images using 1d and 2d higuchi's fractal dimension methods
Само за регистроване кориснике
2018
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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 fo...r differentiation between AIN stages giving practically the same results. They can easily be adapted to other histological specimen.
Кључне речи:
Tumor Staging / Image Analysis / Higuchi Algorithm / Fractal DimensionИзвор:
Fractals-Complex Geometry Patterns and Scaling in Nature and Society, 2018, 26, 3Издавач:
- World Scientific Publ Co Pte Ltd, Singapore
Финансирање / пројекти:
- Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences
- Рибе као биоиндикатори стања квалитета отворених вода Србије (RS-MESTD-Basic Research (BR or ON)-173045)
DOI: 10.1142/S0218348X18500214
ISSN: 0218-348X
WoS: 000435968700002
Scopus: 2-s2.0-85047916902
Институција/група
Institut za multidisciplinarna istraživanjaTY - JOUR AU - Klonowski, Wlodzimierz AU - Stepien, P. AU - Stepien, R. AU - Sedivy, R. AU - Ahammer, H. AU - Spasić, Slađana PY - 2018 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/1169 AB - 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. PB - World Scientific Publ Co Pte Ltd, Singapore T2 - Fractals-Complex Geometry Patterns and Scaling in Nature and Society T1 - Analysis of anal intraepithelial neoplasia images using 1d and 2d higuchi's fractal dimension methods IS - 3 VL - 26 DO - 10.1142/S0218348X18500214 ER -
@article{ author = "Klonowski, Wlodzimierz and Stepien, P. and Stepien, R. and Sedivy, R. and Ahammer, H. and Spasić, Slađana", year = "2018", 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.", publisher = "World Scientific Publ Co Pte Ltd, Singapore", journal = "Fractals-Complex Geometry Patterns and Scaling in Nature and Society", title = "Analysis of anal intraepithelial neoplasia images using 1d and 2d higuchi's fractal dimension methods", number = "3", volume = "26", doi = "10.1142/S0218348X18500214" }
Klonowski, W., Stepien, P., Stepien, R., Sedivy, R., Ahammer, H.,& Spasić, S.. (2018). Analysis of anal intraepithelial neoplasia images using 1d and 2d higuchi's fractal dimension methods. in Fractals-Complex Geometry Patterns and Scaling in Nature and Society World Scientific Publ Co Pte Ltd, Singapore., 26(3). https://doi.org/10.1142/S0218348X18500214
Klonowski W, Stepien P, Stepien R, Sedivy R, Ahammer H, Spasić S. Analysis of anal intraepithelial neoplasia images using 1d and 2d higuchi's fractal dimension methods. in Fractals-Complex Geometry Patterns and Scaling in Nature and Society. 2018;26(3). doi:10.1142/S0218348X18500214 .
Klonowski, Wlodzimierz, Stepien, P., Stepien, R., Sedivy, R., Ahammer, H., Spasić, Slađana, "Analysis of anal intraepithelial neoplasia images using 1d and 2d higuchi's fractal dimension methods" in Fractals-Complex Geometry Patterns and Scaling in Nature and Society, 26, no. 3 (2018), https://doi.org/10.1142/S0218348X18500214 . .