Polyps Recognition using Fuzzy Trees

Orlando Luis Chuquimia Camacho • Andrea Pinna • Dray Xavier • Bertrand Granado

09:05 - 09:55 | Thursday 16 February 2017 | Ballroom D


In this article, we present our work on classifier to realize a Wireless Capsule Endoscopy (WCE) including a Smart Vision Chip (SVC). Our classifier is based on fuzzy tree and forest of fuzzy trees. We obtain a sensitivity of 92.80% and a specificity of 91.26% with a false detection rate of 8.74% on a large database, that we have constructed, composed of 18910 images containing 3895 polyps from 20 different video-colonoscopies.