Abstract
This work presents a new system for real time breast abnormalities detection that could be related to a carcinoma, taking as input a digitized mammography, in order to assist radiologists in their mammography interpretation task. The system built has been designed to the parallel detection of microcalcifications and breast masses. Algorithms based on mathematical morphology combined with dynamic statistical methods are employed in microcalcifications detection. Histogram analysis of the digitized mammogram and a modified version of the watershed algorithm have also been used for breast masses localization. The output given by the system consists on a set of suspicious regions of being a carcinoma located in the original digitized image. .A clinical database has been built for testing purposes comprising 690 mammographic studies for which surgical verification is available, 392 of them obtained in 1997, and the rest in 1998.
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© 2001 Springer-Verlag Berlin Heidelberg
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Barreiro, J.M., Carrascal, A., Manrique, D., Ríos, J., Vilarrasa, A. (2001). Automatic Detection of Regions of Interest in Digitized Mammograms for Computer-Aided Diagnosis. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_7
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DOI: https://doi.org/10.1007/3-540-45497-7_7
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