Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging

Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging

Abstract Background The SI-CURA project (Soluzioni Innovative per la gestione del paziente e il follow up terapeutico della Colite UlceRosA) is an Italian initiative aimed at the development of artificial intelligence solutions to discriminate pathologies of different nature, including inflammatory...

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Bibliographic Details
Main Authors: Marco Chierici, Nicolae Puica, Matteo Pozzi, Antonello Capistrano, Marcello Dorian Donzella, Antonio Colangelo, Venet Osmani, Giuseppe Jurman
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Artificial intelligence
Machine learning
Inflammatory bowel disease
Endoscopy
Predictive models
Diagnosis
Online Access:https://doi.org/10.1186/s12911-022-02043-w

Internet

https://doi.org/10.1186/s12911-022-02043-w

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