THE USE OF HELLWIG’S METHOD FOR DIMENSION REDUCTION IN FEATURE SPACE OF THYROID ULTRASOUND IMAGES
Zbigniew Omiotek
zomiotek@gmail.comLublin University of Technology, Faculty of Electrical Engineering and Computer Science (Poland)
Waldemar Wójcik
Lublin University of Technology, Faculty of Electrical Engineering and Computer Science (Poland)
Abstract
This paper presents the use of Hellwig’s method for dimension reduction in feature space of thyroid ultrasound images. On the base of this method, the combination of three features with the greatest value of Hellwig’s index information capacity from the input set of 283 features was obtained. This set was used to build and test the classifiers. Classification results were compared with the results obtained for a set of 48 features obtained using correlation method. It turned out that the accuracy of classifiers built on the base of 3 features is not worse than the accuracy of classifiers built on the base of 48 features, and in some cases it is even higher. This suggests that the Hellwig’s method can be used as an effective method for dimension reduction in feature space for the future thyroid ultrasound images classification.
Keywords:
Hellwig’s method, Hashimoto’s disease, image processing, texture classificationReferences
Cichosz P.: Systemy uczące się. Wydawnictwa Naukowo-Techniczne, Warszawa, 2007.
Google Scholar
Ćwik J., Koronacki J.: Statystyczne systemy uczące się. Wydawnictwa Naukowo-Techniczne, Warszawa, 2005.
Google Scholar
Ćwik J., Mielniczuk J.: Statystyczne systemy uczące się. Ćwiczenia w oparciu o pakiet R. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa, 2009.
Google Scholar
Haralick R., Shanmugam K., Dinstein I.: Textural Features for Image Classification. IEEE Transactions on Systems, Man and Cybernetics, Vol. 3, No 6, 610-621, 1973.
Google Scholar
Hayashi N., Tamaki N.: Sonography of Hashimoto’s thyroiditis. J. Clin. Ultrasound, Vol. 14, 1986, pp. 123-126.
Google Scholar
Hellwig Z.: On the optimal choice of predictors. Study VI in Z. Gostkowski (ed.): Toward a system of quantitative indicators of components of human resources development; Paris: UNESCO, 1968.
Google Scholar
Koprowski R., Korzyńska A., Wróbel Z., Zieleźnik W., Witkowska A., Małyszek J., Wójcik W.: Influence of the measurement method of features in ultrasound images of the thyroid in the diagnosis of Hashimoto’s disease. BioMedical Engineering OnLine 2012, 11:91, DOI:10.1186/1475-925X-11-91
Google Scholar
Koprowski R., Wróbel Z., Zieleźnik W.: Automatic ultrasound image analysis in Hashimoto’s disease. Lect. Notes in Comput. Sci. – Adv. in Pattern Recognit. Vol. 6256, 2010, pp. 98-106.
Google Scholar
Koprowski R., Wróbel Z., Zieleźnik W.: Analysis of thyroid ultrasonogram in Hashimoto’s disease. The 2010 International Congress on Computer Applications and Computational Science. IRAST, Singapore, 2010, pp. 448-451.
Google Scholar
Koprowski R., Zieleźnik W., Wróbel Z., Małyszek J., Stępień B., Wójcik W.: Assessment of significance of features acquired from thyroid ultrasonograms in Hashimoto's disease. BioMedical Engineering OnLine 2012, 11:48, DOI:10.1186/1475-925X-11-48
Google Scholar
Krzyśko M., Wołyński W., Górecki T., Skorzybut M.: Systemy uczące się. Rozpoznawanie wzorców analiza skupień i redukcja wymiarowości. Wydawnictwa Naukowo-Techniczne, Warszawa, 2008.
Google Scholar
Loy M., Cianchetti M.E., Cardia F., Melis A., Boi F., Mariotti S.: Correlation of computerized gray-scale sonographic findings with thyroid function and thyroid autoimmune activity in patients with Hashimoto's thyroiditis. J. Clin. Ultrasound, Vol. 32(3), 2004, pp. 136-140.
Google Scholar
Mailloux G., Bertrand M., Stampfler R., Ethier S.: Computer analysis of echographic textures in Hashimoto disease of the thyroid. J. Clin. Ultrasound, Vol. 14(7), 1986, pp. 521-527.
Google Scholar
Mazzotii G., Sorvillo F., Iorio S., Carbone A., Romeo A., Piscopo M., Capuano S., Capuano E., Amato G., Carella C.: Grey-scale analysis allows a quantitative evaluation of thyroid echogenicity in the patients with Hashimoto’s thyroiditis. Clin. Endocrinol. Vol. 59, 2003, pp. 223-229.
Google Scholar
Omiotek Z., Burda A., Wójcik W.: Metoda klasyfikacji obrazów USG tarczycy z wykorzystaniem indukcji drzew decyzji. Prace Instytutu Elektrotechniki, Zeszyt 260, 2012 s. 57-68.
Google Scholar
Omiotek Z., Burda A., Wójcik W.: The use of decision tree induction and artificial neural networks for automatic diagnosis of Hashimoto’s disease. Expert Systems with Applications (2013), DOI: http://dx.doi.org/10.1016/j.eswa.2013.03.022
Google Scholar
Petrie A., Sabin C.: Statystyka medyczna w zarysie. Wydawnictwo Lekarskie PZWL, Warszawa 2006.
Google Scholar
Sara R., Smutek D., Sucharda R., Svacina S.: Systematic Construction of Texture Features for Hashimoto’s Lymphocytic Thyroiditis Recognition from Sonographic Images. In 8th Conference on Artificial Intelligence in Medicine in Europe. AIME, Cascais, Portugal, 2001, pp. 339-346.
Google Scholar
Schiemann U., Gellner R., Riemann B., Schierbaum G., Menzel J., Domschke W., Hengst K.: Standardized grey scale ultrasonography in Graves' disease: correlation toautoimmune activity. Eur. J. Endocrinol. Vol. 141(4), 1999, pp. 332-336.
Google Scholar
Stąpor K.: Metody klasyfikacji obiektów w wizji komputerowej. Wydawnictwo Naukowe PWN. Warszawa, 2011.
Google Scholar
Uwe S., Avenhaus W., Konturek J., Gellner R., Hengst K., Gross M.: Relationship of clinical features and laboratory parameters to thyroid echogenicity measured by standardized grey scale ultrasonography in patients with Hashimoto’s thyroiditis. Med. Sci. Monit. Vol. 9(4), 2003, pp. 49-53.
Google Scholar
Zieleźnik W., Małyszek-Tumidajewicz J., Stęchły T., Stępień B., Wójcik W., Owczarek A.: The analysis of thyroid ultrasound echogenicity in the patients with hashimoto’s disease. Eur Thyroid J, 5:160, 2011.
Google Scholar
Zieleźnik W., Witkowska A., Małyszek-Tumidajewicz J., Koprowski R., Stępień B., Owczarek A., Koprowski R., Wójcik W.: The new method of analysis thyroid echogenicity in the patients with Hashimoto’s disease. Sent to Thyroid, 2012.
Google Scholar
Strona domowa środowiska R: http://www.r-project.org/
Google Scholar
Authors
Zbigniew Omiotekzomiotek@gmail.com
Lublin University of Technology, Faculty of Electrical Engineering and Computer Science Poland
Authors
Waldemar WójcikLublin University of Technology, Faculty of Electrical Engineering and Computer Science Poland
Statistics
Abstract views: 285PDF downloads: 127
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Waldemar Wójcik, Batyrbek Suleimenov, Gennadiy Shadrin, Mikhail Shadrin, Dmitriy Porubov, OPTIMAL CONTROL SYSTEM OF DIESEL AUTOMOTIVE ENGINEERING BY EXAMPLE OF OPEN PIT MOTOR TRANSPORT , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 4 No. 1 (2014)
- Olessya A. Yuchshenko, Waldemar Wójcik, DEVELOPMENT OF SIMULATION MODEL OF STRIP PULL SELF-REGULATION SYSTEM IN DYNAMIC MODES IN A CONTINUOUS HOT GALVANIZING LINE , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 4 No. 1 (2014)
- Shamil Koshymbaevich Koshymbaev, Zhibek Shegebaeva, Waldemar Wójcik, DEFINITION OF THE OBJECTS OF MULTIVARIABLE CONTROL OF TECHNOLOGICAL PROCESS OF SMELTING INDUSTRY ON THE BASIS OF OPTIMIZATION MODEL , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 4 No. 1 (2014)
