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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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| Publié dans: | World J Gastroenterol |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Baishideng Publishing Group Inc
2016
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| Sujets: | |
| Accès en ligne: | 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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