Polyps Recognition Using Fuzzy Trees

Abstract : 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. We obtain a sensitivity of 88.56% and a specificity of 86.42% on a large database, that we have constructed, composed of 18910 images containing 3895 polyps from 20 different video-colonoscopies.
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https://hal.archives-ouvertes.fr/hal-02089836
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Orlando Chuquimia, Andrea Pinna, Xavier Dray, Bertrand Granado. Polyps Recognition Using Fuzzy Trees. 12ème Colloque du GDR SoC/SiP 2017, Jun 2017, Bordeaux, France. ⟨hal-02089836⟩

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