Al Boni Mohammad, Syed Sana, Ali Asad, Moore Sean R, Brown Donald E
Systems and Information Engineering, University of Virginia, Charlottesville, Virginia, United States.
Division of Gastroenterology, Hepatology, & Nutrition, Department of Pediatrics, University of Virginia, Charlottesville, Virginia, United States.
AMIA Jt Summits Transl Sci Proc. 2019 May 6;2019:453-461. eCollection 2019.
Environmental Enteropathy (EE) and celiac disease (CD) are gastrointestinal conditions that adversely impact the growth of children. EE is prevalent in low- and middle-income countries, whereas as CD is prevalent worldwide. The histologic appearance of duodenal EE biopsies significantly overlaps with celiac enteropathy. We propose a convolutional neural network (ConvNet) to classify EE cases from Pakistani infants along with celiac and healthy controls from the United States. We also identified areas of biopsies that generate high activation values in the ConvNet model. The identified features helped in distinguishing EE and celiac from healthy intestinal tissues. This work advances the understanding of both diseases and provides a potential screening and diagnostic tool for practitioners.
环境性肠病（EE）和乳糜泻（CD）是对儿童生长产生不利影响的胃肠道疾病。EE在低收入和中等收入国家普遍存在，而CD在全球范围内普遍存在。十二指肠EE活检的组织学表现与乳糜泻性肠病有显著重叠。我们提出了一种卷积神经网络（ConvNet），用于对来自巴基斯坦婴儿的EE病例以及来自美国的乳糜泻和健康对照进行分类。我们还确定了在ConvNet模型中产生高激活值的活检区域。所识别的特征有助于将EE和乳糜泻与健康肠道组织区分开来。这项工作增进了对这两种疾病的理解，并为从业者提供了一种潜在的筛查和诊断工具。
