Video-Based Deep Learning to Detect Dyssynergic Defecation with 3D High-Definition Anorectal Manometry
Joshua Levy, Christopher M. Navas, Joan A. Chandra, Brock C. Christensen, Louis Joseph Vaickus, Michael A. Curley, William D. Chey, Jason R. Baker, Eric D. Shah
This paper develops a deep learning algorithm for 3D-HDAM to detect dyssynergia, showing comparable accuracy to traditional and hybrid models but better handling of ambiguous cases.
Digestive Diseases and Sciences · Nov 19, 2022Peer-reviewedBioinformatics