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40,585 results
  • Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children. [Journal Article]
  • JNJAMA Netw Open 2019 Jun 05; 2(6):e195822
  • Syed S, Al-Boni M, … Brown DE
  • CONCLUSIONS: A machine learning-based histopathological analysis model demonstrating 93.4% classification accuracy was developed for identifying and differentiating between duodenal biopsies from children with EE and CD. The combination of the CNN with a deconvolutional network enabled feature recognition and highlighted secretory cells' role in the model's ability to differentiate between these histologically similar diseases.
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