Titlebook: Digital Mammography; 8th International Wo Susan M. Astley,Michael Brady,Reyer Zwiggelaar Conference proceedings 2006 Springer-Verlag Berlin

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Mammographic Mass Detection Using Unsupervised Clustering in Synergy with a Parcimonious Supervised he publicly available USF/DDSM database, experimental results demonstrate that a sensitivity of 94% (resp. 80%) can be achieved at a specificity level of 1.02 (resp. 0.69) false positives per image. Even in dense mammograms, the CAD algorithm can still correctly detect subtle masses.

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