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Mammography is the most effective procedure for an early detection of breast abnormalities. Masses are a type of abnormality which are very difficult to be visually detected on mammograms. In this paper an efficient method for detection of masses in mammograms is introduced and tested. The algorithm is inspired by binary search and was evaluated both on mini-MIAS and INBreast databases. Mini-MIAS results show that our algorithm outperforms other competing methods. For INBreast database there are no other published mass detection results for comparison, but we believe that our algorithm has good performance.

A New Local Adaptive Mass Detection Algorithm in Mammograms