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    Shape factors for analysis of breast tumors in mammograms

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    MassShapeCCECE1996.pdf
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    Author
    Salem, Nema cc
    Rangayyan, Rangaraj
    Desautels, J. E. Leo
    Alim, Onsy
    Subject
    breast tumors , mammograms , shape factors , malignant breast tumors , benign breast tumors , shape complexity , radiographic definition , compactness , moments , Fourier descriptors , chord length statistics , spiculated mass , circumscribed mass , four-group classification , breast cancer diagnosis
    Date
    2002-08-06
    
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    Abstract
    Distinguishing between benign and malignant breast tumors requires careful analysis of their shape complexity and radiographic definition. In this paper we examine the usefulness of shape factors such as compactness, moments, Fourier descriptors, and statistics of chord lengths in distinguishing between circumscribed/spiculated and benign/malignant masses. A database of 54 tumors was used in pattern classification experiments. Classification accuracies of 95% for circumscribed/spiculated, 76% for benign/malignant, and 77% for four-group classification were obtained, which indicate the usefulness of the proposed methods in breast cancer diagnosis.
    Department
    Electrical and Computer Engineering
    Publisher
    IEEE
    DOI
    10.1109/CCECE.1996.548110
    ae974a485f413a2113503eed53cd6c53
    10.1109/CCECE.1996.548110
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