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Automatic Detection of Intestinal Content to Evaluate Visibility in Capsule Endoscopy

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Automatic Detection of Intestinal Content to Evaluate Visibility in Capsule Endoscopy

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Noorda, R.; Nevárez, A.; Colomer, A.; Naranjo, V.; Pons Beltrán, V. (2020). Automatic Detection of Intestinal Content to Evaluate Visibility in Capsule Endoscopy. IEEE. 163-168. https://doi.org/10.1109/ISMICT.2019.8743878

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/136059

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Title: Automatic Detection of Intestinal Content to Evaluate Visibility in Capsule Endoscopy
Author: Noorda, Reinier Nevárez, Andrea Colomer, Adrián Naranjo, Valery Pons Beltrán, Vicente
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
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Abstract:
In capsule endoscopy (CE), preparation of the small bowel before the procedure is believed to increase visibility of the mucosa for analysis. However, there is no consensus on the best method of preparation, while comparison ...[+]
Subjects: Image processing , Machine learning , Support vector machines , Local binary patterns , Capsule endoscopy , Small bowel preparation , Convolutional neural networks
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-7281-2342-4
Source:
(issn: 2326-8301 )
DOI: 10.1109/ISMICT.2019.8743878
Publisher:
IEEE
Publisher version: https://doi.org/10.1109/ISMICT.2019.8743878
Conference name: International Symposium on Medical Information and Communication Technology (ISMICT)
Conference place: Oslo, Norway
Conference date: Mayo 08-10,2019
Project ID: info:eu-repo/grantAgreement/EC/H2020/675353/EU
Thanks:
This work was funded by the European Union’s H2020: MSCA: ITN program for the “Wireless In-body Environment Communication – WiBEC” project under the grant agreement no. 675353.
Type: Capítulo de libro Comunicación en congreso

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