AAAI Publications, Twenty-Third International FLAIRS Conference

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A Supervised Method for Microcalcifications Detection using Breast Density
Gabriela A. Rodriguez, Jesus A. Gonzalez, Leopoldo Altamirano, Jose S. Guichard, Raquel Diaz

Last modified: 2010-05-06


The increasing mortality rate due to breast cancer is a global corcern. Several research groups have proposed different methods to detect breast cancer in an early stage (such as microcalcifications detection methods). In this work, we present a supervised microcalcifications detection method that takes into account the breast density. Using this information and Fisher´s Linear Discriminant, our method is able to detect microcalcifications even in mammograms where there is not contrast between microcalcifications and breast tissue. We tested our method with two mammogram databases and we evaluated each of the main phases of the method. The obtained specificity and sensitivity results reached 90% for each of the phases.


microcalcifications detection; breast density; segmentation;data mining

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