Communication Dans Un Congrès Année : 2017

Polyps Recognition Using Fuzzy Trees

Reconnaissance des polypes en utilisant arbres flous

Andrea Pinna
Xavier Dray
Bertrand Granado

Résumé

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.

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hal-01896834 , version 1 (16-10-2018)

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Orlando Chuquimia, Andrea Pinna, Xavier Dray, Bertrand Granado. Polyps Recognition Using Fuzzy Trees. BHI-2017 International Conference on Biomedical and Health Informatics, Feb 2017, Orlando, FL, United States. pp.9-12, ⟨10.1109/BHI.2017.7897192⟩. ⟨hal-01896834⟩
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