Pathologist-trained machine learning classifiers developed to quantitate celiac disease features differentiate endoscopic biopsies according to modified marsh score and dietary intervention response

• Main Authors: Aaron M. Gruver (Author), Haiyan Lu (Author), Xiaoxian Zhao (Author), Angie D. Fulford (Author), Michael D. Soper (Author), Darryl Ballard (Author), Jeffrey C. Hanson (Author), Andrew E. Schade (Author), Eric D. Hsi (Author), Klaus Gottlieb (Author), Kelly M. Credille (Author)
• Format: Book
• Published: BMC, 2023-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Histologic evaluation of the mucosal changes associated with celiac disease is important for establishing an accurate diagnosis and monitoring the impact of investigational therapies. While the Marsh-Oberhuber classification has been used to categorize the histologic findings int...