Improving quality of cytological screening in early detection of malignancy associated changes

• Autorzy: Piętka B. D. , Dulewicz A. M. , Kupis P.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with an image database organization and utilization in computer-aided cytology. To illustrate the idea we take as an example the problem of bladder cancer early detection based on urine cytology. In spite of its diagnostic potential for discovering malignancy associated changes (MAC) at the cell level it seems to be underestimated. There is common view that sensitivity of the method, especially for early cancer stages, is relatively low. We depict here just one but significant direction of our works that aims to support pathologists making the diagnosis more accurate and reliable. The key idea relies on automatic searching for MAC by comparing nuclear chromatin structure of objects in a smear with a collection of sample patterns contained in a pathomorphological image database.

Słowa kluczowe

EN

cytological screening; image databases; early detection of bladder cancer; content-based image retrieval (CBIR)

PL

przesiewowe badania cytologiczne; bazy danych obrazu; wczesne wykrycie raka pęcherza

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2012
• Tom: Vol. 19
• Strony: 85--91
• Opis fizyczny: Bibliogr. 5 poz., rys.

Twórcy

autor

Piętka B. D.

• Laboratory of Fundamentals of Computer-Aided Image Diagnostics, lnstitute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Ks. Trojdena 4, 02-109 Warsaw, Poland.

autor

Dulewicz A. M.

autor

Kupis P.

Bibliografia

• [1] BAERT A.L., Encyclopedia of Diagnostic Imaging, Berlin: Springer-Verlag, 2008.
• [2] CHANG SK, HSU A., Image information systems: where do we go from here?, IEEE Trans. On Knowledge and Data Engineering, 1992, Vol.5, No.5, pp. 43-442.
• [3] DULEWICZ A., PIĘTKA D., JASZCZAK P., NECHAY A., SAWICKI W., PYKAŁO R., KOŹMIŃSKA E. BORKOWSKI A., Computer Identification of Neoplastic Urothelial Nuclei from the Bladder, Analiytical and Quantitative Cytology And Histology, 2001, Vol. 23, No. 5.
• [4] DULEWICZ A., PIĘTKA B.D., JASZCZAK P., A Trial of Practical Computer Analysis of Urothelial Nuclei for Cancer Detection, Horizons in Cancer Research, Vol.6: Progress in Bladder Cancer Research, MALLOROY A.M. (Editor), Nova Biomedical Books, New York, 2005.
• [5] JASZCZAK P., DULEWICZ A., NECHAY A., PIĘTKA D., Selected algorithms for computer analysis of microscope scans in the system for early detection of urinary bladder cancer, 6th European Conference on Engineering and Medicine – ESEM-2001, Belfast, 2001, pp. 214-217.