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When detecting abnormalities in colonoscopic images, the location, shape and size of the abnormal regions in the image are unknown and vary across images. It is difficult to determine the appropriate patch-size for patch-based approach. So multi-size patches are used simultaneously to represent the image regions and an ensemble is constructed in which each classifier handles one patch size. The combination of classifiers trained using multiple-size patches can recognize abnormal regions moredoi:10.1109/cvpr.2005.201 dblp:conf/cvpr/LiCK05 fatcat:byky6kn77rg3zj6u754e5pllmq