An application of topological median filters on detection and clustering of microcalcifications in digital mammograms

Date

2006-05-19

Author

Cihan, Ibrahim Kivanc
Senel, Hakan Guray

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Existence of microcalcification clusters on mammograms is one of the earliest signs of breast cancers. In this study, a method that is based on topological median filters is proposed for the automated detection of microcalcifications. The proposed algorithm consists of two steps. First, probable microcalcification pixels in the mammograms are segmented out by using topological top-hat transform. Then, individual microcalcifications are clustered by using a subtractive clustering algorithm. The method has been applied to Nijmegen database of 34 mammograms with a total of 72 microcalcification clusters. The results show that the proposed algorithm has a success rate of 93%.

Subject Keywords

Topological median filters, Top-hat transform, Microcalcification, Subtractive clustering

URI

https://hdl.handle.net/11511/64901

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Unclassified, Conference / Seminar

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Citation Formats

I. K. Cihan and H. G. Senel, “An application of topological median filters on detection and clustering of microcalcifications in digital mammograms,” 2006, p. 2384, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64901.