Automatic normal-abnormal video frame classification for colonoscopy


Two novel schemes are proposed to represent intermediate-scale features for normal-abnormal classification of colonoscopy images. The first scheme works on the full-resolution image, the second on a multi-scale pyramid space. Both schemes support any feature descriptor; here we use multi-resolution local binary patterns which outperformed other features… (More)
DOI: 10.1109/ISBI.2013.6556557


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