Abstract
Breast cancer is the most frequent neoplasm of women in western countries. The mortality is correlated to the size of the tumour, presence of lymphadenopathy or metastasis (22). Mammography is still the best method to screen asymptomatic women (9)(3)(13), and it is proved that mass screening permits reduction of mortality for women over 50 year old (21)(16)(14)(4). Isolated cluster of microcalcifications in mammograms is the most important radiological feature of asymptomatic breast cancer(17)(19). Unfortunately this highly sensitive sign has a poor specificity(18) (10) (12) and none of the radiological classifications based on morphological approach is effective (11)(12)(2)(20). Therefore almost all clusters of microcalcifications lead to a diagnostic surgical biopsy, whereas 10–30% are malignant. So to avoid unnecessary biopsies, we developed a new image analysis system to characterise benign clusters of microcalcifications in mammograms.
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© 1991 Springer-Verlag Berlin Heidelberg
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Gilles, R., Bouvet-Lefebvre, F., Masselot, J., Kahn, E. (1991). Characterisation of Benign Clustered Microcalcifications with a New Image Analysis Method. In: Lemke, H.U., Rhodes, M.L., Jaffe, C.C., Felix, R. (eds) Computer Assisted Radiology / Computergestützte Radiologie. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-00807-2_49
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DOI: https://doi.org/10.1007/978-3-662-00807-2_49
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