@InProceedings{CristinaSanchezMontes2017,
author="Cristina Sanchez Montes
and F. Javier Sanchez
and Cristina Rodriguez de Miguel
and Henry Cordova
and Jorge Bernal
and Maria Lopez Ceron
and Josep Llach
and Gloria Fernandez Esparrach",
title="Histological Prediction Of Colonic Polyps By Computer Vision. Preliminary Results",
booktitle="25th United European Gastroenterology Week",
year="2017",
optkeywords="polyps",
optkeywords="histology",
optkeywords="computer vision",
abstract="during colonoscopy, clinicians perform visual inspection of the polyps to predict histology. Kudo{\textquoteright}s pit pattern classification is one of the most commonly used for optical diagnosis. These surface patterns present a contrast with respect to their neighboring regions and they can be considered as bright regions in the image that can attract the attention of computational methods.",
optnote="MV; no menciona",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2979), last updated on Thu, 16 Feb 2023 11:16:05 +0100",
file=":http://refbase.cvc.uab.es/files/SSR2017.pdf:PDF"
}