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• W2076293758 startingPage "392" @default.
• W2076293758 abstract "Diagnostic features in mammograms vary widely in size and shape. Classical image enhancement techniques cannot adapt to the varying characteristics of such features. An adaptive method for enhancing the contrast of mammographic features of varying size and shape is presented. The method uses each pixel in the image as a seed to grow a region. The extent and shape of the region adapt to local image gray-level variations, corresponding to an image feature. The contrast of each region is calculated with respect to its individual background. Contrast is then enhanced by applying an empirical transformation based on each region's seed pixel value, its contrast, and its background. A quantitative measure of image contrast improvement is also defined based on a histogram of region contrast and used for comparison of results. Using mammogram images digitized at high resolution (less than 0.1 mm pixel size), it is shown that the validity of microcalcification clusters and anatomic details is considerably improved in the processed images." @default.
• W2076293758 created "2016-06-24" @default.
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• W2076293758 creator A5034711667 @default.
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• W2076293758 date "1992-01-01" @default.
• W2076293758 modified "2023-10-06" @default.
• W2076293758 title "Region-based contrast enhancement of mammograms" @default.
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• W2076293758 doi "https://doi.org/10.1109/42.158944" @default.
• W2076293758 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18222882" @default.
• W2076293758 hasPublicationYear "1992" @default.
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