Tom Kratter, Noam Shapira, Yarden Lev, Or Mauda, Yehonatan Moshkovitz, Roni Shitrit, Shani Konyo, Offir Ukashi, Lior Dar, Oranit Shlomi, Ahmad Albshesh, Shelly Soffer, Eyal Klang, Shomron Ben Horin, Rami Eliakim, Uri Kopylov, Reuma Margalit Yehuda
BACKGROUND AND AIMS: The aim of our study was to create an accurate patient-level combined algorithm for the identification of ulcers on CE images from two different capsules. METHODS: We retrospectively collected CE images from PillCam-SB3's capsule and PillCam-Crohn's capsule. ML algorithms were trained to classify small bowel CE images into either normal or ulcerated mucosa: a separate model for each capsule type, a cross-domain model (training the model on one capsule type and testing on the other), and a combined model...
October 14, 2022: Diagnostics