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Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosis

AIM: To further improve the endoscopic detection of intestinal mucosa alterations due to celiac disease (CD). METHODS: We assessed a hybrid approach based on the integration of expert knowledge into the computer-based classification pipeline. A total of 2835 endoscopic images from the duodenum were...

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Detalhes bibliográficos
Publicado no:World J Gastroenterol
Main Authors: Gadermayr, Michael, Kogler, Hubert, Karla, Maximilian, Merhof, Dorit, Uhl, Andreas, Vécsei, Andreas
Formato: Artigo
Idioma:Inglês
Publicado em: Baishideng Publishing Group Inc 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4988309/
https://ncbi.nlm.nih.gov/pubmed/27610022
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3748/wjg.v22.i31.7124
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