@Article{CristinaSanchezMontes2020,
author="Cristina Sanchez Montes
and Jorge Bernal
and Ana Garcia Rodriguez
and Henry Cordova
and Gloria Fernandez Esparrach",
title="Revisi{\'o}n de m{\'e}todos computacionales de detecci{\'o}n y clasificaci{\'o}n de p{\'o}lipos en imagen de colonoscopia",
journal="Gastroenterolog{\'i}a y Hepatolog{\'i}a",
year="2020",
volume="43",
number="4",
pages="222--232",
abstract="Computer-aided diagnosis (CAD) is a tool with great potential to help endoscopists in the tasks of detecting and histologically classifying colorectal polyps. In recent years, different technologies have been described and their potential utility has been increasingly evidenced, which has generated great expectations among scientific societies. However, most of these works are retrospective and use images of different quality and characteristics which are analysed off line. This review aims to familiarise gastroenterologists with computational methods and the particularities of endoscopic imaging, which have an impact on image processing analysis. Finally, the publicly available image databases, needed to compare and confirm the results obtained with different methods, are presented.",
optnote="MV;",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3404), last updated on Thu, 16 Feb 2023 12:08:04 +0100",
opturl="https://www.sciencedirect.com/science/article/abs/pii/S0210570520300145"
}