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The paper deals with the problem of early detection of bladder cancer based on non-invasive, voided urine cytological investigations. In spite of the diagnostic potential of the method for discovering malignancy associated changes in cells before they start to form a tumour, cytological tests seem to be underestimated by physicians, as there is a common view that their sensitivity, especially in early stages of the cancer, is relatively low. We depict here just one, but significant, direction of our work that aims to support the cytopathologist in making the diagnosis more accurate and reliable. The key idea relies on classification of adaptive smear objects by searching for similar patterns in a flexible pathomorphological image database using content-based image retrieval technology (CBIR).
Czasopismo
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Tom
Strony
321--337
Opis fizyczny
Bibliogr. 15 poz., il., wykr.
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autor
autor
autor
autor
- Laboratory of Computer-Aided Image Diagnostics Systems Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Ks. Trojdena 4, 02-109 Warsaw, Poland, darek@ibib.waw.pl
Bibliografia
- [1] Haralick, R. M., K. Shanmugam and I. Dinstein. Textural Features for Image Classification. IEEE Transactions on Systems. Man and Cybernetics. SMC-3(6):610-620, 1973.
- [2] Intersociety Working Group for Cytology Technologies: Proposed Guidelines for Primary Screening Instruments for Gynaecologic Cytology, Acta Cytologica, Volume 41, Number 3/May-June, 1997
- [3] Intersociety Working Group for Cytology Technologies: A Proposed Methodology for Evaluating Secondary Screening (Rescreening) Instruments for Gynaecologic Cytology. Acta Cytologica, Volume 41, Number 3/May-June, 1997
- [4] Pirtskalaishvili G., Konety B., Getzenberg R.: Update on urine-based markers for bladder cancer. How sensitive and specific are the new non-invasive tests?, Postgraduate Medicine, November, Vol. 106, No 6, 1999.
- [5] Dulewicz A., Piętka D., Jaszczak P., Nechay A.: Selective acquisition of images in the process of automatic scanning of microscopic slides, Proceedings of the World Congress on Medical Physics and Biomedical Engineering, Chicago. July 23-28, 2000.
- [6] Dulewicz A., Piętka D., Jaszczak P., Nechay A.: Selective acquisition of images in the process of automatic scaning of microscopic slides, Proceedings of the World Congress on Medical Physics and Biomedical Engineering, Chicago, July 23-28, 2000.
- [7] 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, Analitical and Quantitative Cytology And Histology, October, Vol. 23, No. 5, 2001.
- [8] 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, May 3-5, 214-217, 2001.
- [9] 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, May 3-5 2001, 214-217, 2001.
- [10] Dulewicz A., Piętka D., Jaszczak P.: A trial of a new approach to computer analysis of urothelial nuclei for cancer detection, Proceedings of the Computer Recognition Systems Conference, Technical University of Wroclaw, May, 15-20, 2003.
- [11] Piętka D., Dulewicz M., Jaszczak P.: Removing Artefacts from Microscopic Images of Cytological Smears. A Shape-Based Approach, CORES, 2005
- [12] A. Dulewicz, D. Piętka and P. Jaszczak: A Trial of Practical Computer Analysis of Urothelial Nuclei for Cancer Detection, Horizons in Cancer Research, Vol. 6: Progress in Bladder Cancer Research, A. M. Malloroy (Editor) Nova Biomedical Books, New York, 2005.
- [13] D. G. Harlow, R. P. Wei and M. Z. Wang, "Statistical analysis of constituent particles in 7075-T6 aluminium alloy", A Metallurgical and Materials Transactions, Volume 37, Number 11 / November, 2006,
- [14] Piętka D., Dulewicz M., Jaszczak P.: Removing Artefacts from Microscopic Images of Cytological Smears, Machine Graphics & Vision, Vol. 17, No. 1/2, 2008.
- [15] http://www.urovysion.com/AboutVysis%C2%AEUroVysion-4.asp.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0048-0005