Microscopic image analysis for quantitative measurement and feature identification of normal and cancerous colonic mucosa
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The development of an automated algorithm for the categorization of normal and cancerous colon mucosa is reported. Six features based on texture analysis were studied. They were derived using the co-occurrence matrix and were angular second moment, entropy, co... ...
