Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms

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    Microcalcifications are detected by fitting a model to every location in the mammogram. Model parameters yielding the best fit are used as features for detection and classification. The fraction of true positive (tp) detection is 60% with 1.23 false detections per cm2. The rate of correct classification is 69%.

    Original languageEnglish
    Pages (from-to)1209-1214
    Number of pages6
    JournalPattern Recognition Letters
    Issue number13-14
    Publication statusPublished - Dec 2000

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