2021
DOI: 10.3389/fmed.2020.600095
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Characterization of Mucosal Lesions in Crohn's Disease Scored With Capsule Endoscopy: A Systematic Review

Abstract: Background and Aims: There is little agreement on the nomenclature and description of Crohn's disease (CD) lesions that can be found in the small and large bowel using capsule endoscopy (CE). We performed a systematic review to identify mucosal lesions that have been described using CE in CD, in both the small bowel and colon, with the aim to make propositions to homogenize such descriptions.Methods: A systematic literature search was conducted using Embase, Medline (OvidSP), and Cochrane Central on August 6, … Show more

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Cited by 3 publications
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“…These systems are built up from the supervised machine learning and deep learning algorithms that have been trained on the dataset image samples taken from the CE camera with some gold-standard features of normal and abnormal objects such as color, texture, or shape [33,34]. These systems have demonstrated promising results with high sensitivity and specificity for obscure gastrointestinal bleeding (OGIB) [35][36][37], Crohn disease lesions [38,39], polyps [40][41][42], and so on. Especially for colorectal polyp detection, deep learning models show remarkable performances as summarized in [43].…”
Section: Introductionmentioning
confidence: 99%
“…These systems are built up from the supervised machine learning and deep learning algorithms that have been trained on the dataset image samples taken from the CE camera with some gold-standard features of normal and abnormal objects such as color, texture, or shape [33,34]. These systems have demonstrated promising results with high sensitivity and specificity for obscure gastrointestinal bleeding (OGIB) [35][36][37], Crohn disease lesions [38,39], polyps [40][41][42], and so on. Especially for colorectal polyp detection, deep learning models show remarkable performances as summarized in [43].…”
Section: Introductionmentioning
confidence: 99%