Abstract
This work presents an application intended to work as a second reader in Radiology Services for digital mammograms, which makes use of several Computer Vision algorithms. Although the presented prototype basically focuses on the detection and the characterization of microcalcifications, the system has the capability to grow up by adding new abnormalities (e.g. masses) or new classification patterns. Experimental results of the system’s performance have been obtained through digital mammograms of the Regional Health Area of Girona.
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Martí, J., Planiol, P., Freixenet, J., Español, J., Golobardes, E. (2001). Development of a Mammographic Analysis System Using Computer Vision Techniques. 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_26
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DOI: https://doi.org/10.1007/3-540-45497-7_26
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