Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download
Contributor : Orlando Chuquimia Connect in order to contact the contributor
Submitted on : Thursday, April 4, 2019 - 11:10:53 AM
Last modification on : Sunday, June 26, 2022 - 9:59:17 AM
Long-term archiving on: : Friday, July 5, 2019 - 1:09:55 PM


Files produced by the author(s)


  • HAL Id : hal-02089836, version 1


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⟩



Record views


Files downloads