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Adenoma Colon Polyp clinical trials

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NCT ID: NCT03775811 Completed - Colonoscopy Clinical Trials

In Vivo Computer-aided Prediction of Polyp Histology on White Light Colonoscopy

Start date: January 1, 2019
Phase:
Study type: Observational

Our group, prior to the present study, developed a handcrafted predictive model based on the extraction of surface patterns (textons) with a diagnostic accuracy of over 90%24. This method was validated in a small dataset containing only high-quality images. Artificial intelligence is expected to improve the accuracy of colorectal polyp optical diagnosis. We propose a hybrid approach combining a Deep learning (DL) system with polyp features indicated by clinicians (HybridAI). A pilot in vivo experiment will carried out.