Approach to automated screening of mammograms

Dragana P. Brzakovic; P. Brzakovic; Milorad Neskovic

doi:10.1117/12.148680

29 July 1993 Approach to automated screening of mammograms

Dragana P. Brzakovic, P. Brzakovic, Milorad Neskovic

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148680
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

This paper describes an adaptive image segmentation method that detects cancerous changes in mammograms. A mammogram containing abnormal signs changes is segmented into 'suspicious regions' and normal tissue. The method employs hierarchical region growing that uses pyramidal multiresolution image representation. The relationships between pixels at different resolution levels are established using a fuzzy membership function, thus enabling detection of very small and/or low contrast details in highly textured background. The paper discusses two versions of the method, the first is aimed at detection of microcalcifications, and the second at detection of benign and malign nodules. Both versions are fully automated and differ in selection of parameters of the fuzzy membership function. The algorithm was evaluated using synthetically generated objects superimposed on normal mammograms, and real mammograms. Based on this evaluation, the method has potential to be used as an aid to medical experts in establishing the correct diagnosis.

Citation Download Citation

Dragana P. Brzakovic, P. Brzakovic, and Milorad Neskovic "Approach to automated screening of mammograms", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148680

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