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Deep-learning system for real-time differentiation between Crohn's disease, intestinal Behçet's disease, and intestinal tuberculosis.

Jung Min KimJun Gu KangSungwon KimJae Hee Cheon
Published in: Journal of gastroenterology and hepatology (2021)
This study found that a deep-learning model can discriminate between colonoscopy images of intestinal BD, CD, and ITB. In particular, the algorithm demonstrated superior discrimination ability for typical images. This approach presents a beneficial method for the differential diagnosis of the diseases.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • machine learning
  • mycobacterium tuberculosis
  • adverse drug
  • pulmonary tuberculosis
  • electronic health record