Digital Image Analysis in Research and Diagnosis of Urinary Bladder Cancer

A. Dulewicz (Editor)
D. Piętka (Editor)
Polish Academy of Sciences, Warsaw, Poland

Series: Cancer Etiology, Diagnosis and Treatments
BISAC: MED062000

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Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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Diagnosis of early grades of urinary bladder cancers remains poor despite many efforts and advances done in this direction all over the world. Late diagnosis causes longer, painful, less effective and more expensive therapy. Therefore, many centers continue concentrating on working out a non-invasive method of computer analysis of specimens obtained from urine.

The positive result of this approach would enable for screening examinations of high risk population, that is, men over 50 and women over 60, as well as in following progression or involution in the course of a therapy in a noninvasive way. This book presents a digital image analysis of specimens obtained from urine and with bladder washing technique, along with a selection of features suitable for characterization of the neoplastic process. (Imprint: Nova Biomedical)

ABSTRACT

INTRODUCTION

METHODS

MATERIAL AND METHODS

RESULTS

CONCLUSION

REFERENCES

INDEX

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