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1 Machine Graphics and Vision

1 2010

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Application of a Pathomorphological Image Database in Computer-Aided Cytological Examinations

Piętka B. D., Dulewicz A., Jaszczak P., Kupis P.

Machine Graphics and Vision

2010

Vol. 19, No. 3

321-337

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).