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- W2045367072 abstract "Image analysis methods have been developed to characterize calcifications associated with Ductal Carcinoma in-Situ (DCIS), and to differentiate between those having comedo or non- comedo histology. Cases were selected from the U.K. breast screening program, and in each case the histology and a magnified mammographic view were obtained. The films were digitized at 25 micron sampling size and 8 bit grey level resolution. Calcifications were manually segmented from the normal breast background, and a radiologist, experienced in breast screening, checked the labelling of a calcifications. An algorithm was developed to classify firstly the individual objects within a film, and secondly the film itself. The algorithm automatically selected the combination of features giving the least estimated Bayes error for a set of object-oriented features evaluated for each calcification. The k-nearest neighbors statistical approach was then used to classify individual objects giving a ratio of comedo to non-comedo objects for a set of training films. Films were classified by applying a threshold to this ratio. In the classification of typical comedo from typical non-comedo the success rate of the algorithm was 100% for a training set of 4 cases and test set of 16 cases.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2045367072 date "1993-07-29" @default.
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- W2045367072 title "<title>Classification of ductal carcinoma in-situ by image analysis of calcifications from mammograms</title>" @default.
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- W2045367072 doi "https://doi.org/10.1117/12.148695" @default.
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