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The aim of this work is to perform automated texture classification of histology slide images in health and cancerous conditions using quasi-supervised statistical learning method. Tissue images were acquired from histological slides of human colon and were separated into two groups in terms of normal and disease conditions. Texture feature vectors(More)
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