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Computer-aided mammographic screening for spiculated lesions

Computer-aided mammographic screening for spiculated lesions,W Kegelmeyer,J Pruneda,P Bourland,A Hills,M Riggs,M Nipper

Computer-aided mammographic screening for spiculated lesions   (Citations: 144)
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Published in 1994.
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    • ...In this work, we analyzed new methods for textural features computation, based on the superior order GLCM [6] and on the cooccurrence matrix of edge orientations [7], [8], [9]...
    • ...Concerning the edge-based statistics, the standard deviation of the Edge Orientation Histogram [8] and the Edge Orientation Cooccurrence Matrix (EOCM) [7] were implemented, but they were never used before in order to analyze the tumor tissue structure...
    • ...The standard deviation of the Edge Orientation Histogram [8] and the Cooccurrence Matrix of Edge Orientations [7] were implemented before in order to characterize the shape of the tumor contour, but these features were less used for the characterization of the tumor structure...
    • ...The Generalized Cooccurrence Matrix (GCM) [9] represents the natural extension of the Gray Level Cooccurrence Matrix (GLCM), by taking into consideration local features such as edges or edge orientations [7], [8], [9] detected in the image through specific methods [18]...

    Delia Mitreaet al. The role of the superior order GLCM and of the generalized cooccurrenc...

    • ...Kegelmeyer et al. [8] used a 5-dimensional feature vector that included standard deviation of the edge orientation histogram and the output of four spatial filters to classify spiculated lesions...

    Mitsutaka Nemotoet al. A pilot study of architectural distortion detection in mammograms base...

    • ...Although in the papers [27, 29, 32] the formula has not been given explicitly, the description suggests this unfortunate definition (2)...

    Marcin Batoret al. Finding regions of interest for cancerous masses enhanced by eliminati...

    • ...Several studies [12]-[16] have been reported on the analysis of digital mammograms for detection of breast tumor...
    • ...Kegelmeyer has reported promising results for detecting speculated lesions based on local edge characteristics and Laws texture features [15], [16]...

    H. B. Kekreet al. Tumor Demarcation of Mammography Images Using Entropy with Different W...

    • ...Existing ROI detection methods can be divided into two categories, i.e., pixel-based methods [4,5] and region-based methods [6,7]...

    Ning Liet al. A cost-sensitive cascaded method for automatic mass detection

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