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Deep Learning Multi-Domain Model Provides Accurate Detection and Grading of Mucosal Ulcers in Different Capsule Endoscopy Types.
Kratter, Tom; Shapira, Noam; Lev, Yarden; Mauda, Or; Moshkovitz, Yehonatan; Shitrit, Roni; Konyo, Shani; Ukashi, Offir; Dar, Lior; Shlomi, Oranit; Albshesh, Ahmad; Soffer, Shelly; Klang, Eyal; Ben Horin, Shomron; Eliakim, Rami; Kopylov, Uri; Margalit Yehuda, Reuma.
  • Kratter T; Penta-AI, Tel Aviv 6701101, Israel.
  • Shapira N; Penta-AI, Tel Aviv 6701101, Israel.
  • Lev Y; Penta-AI, Tel Aviv 6701101, Israel.
  • Mauda O; Penta-AI, Tel Aviv 6701101, Israel.
  • Moshkovitz Y; Penta-AI, Tel Aviv 6701101, Israel.
  • Shitrit R; Faculty of Medicine, Ben-Gurion University of the Negev, Be'er Sheva 8410501, Israel.
  • Konyo S; Department of Internal Medicine E, Sheba Medical Center, Tel Hashomer, Ramat Gan 5262100, Israel.
  • Ukashi O; Sackler School of Medicine, Tel Aviv University, P.O.B 39040, Tel Aviv 6997801, Israel.
  • Dar L; Sackler School of Medicine, Tel Aviv University, P.O.B 39040, Tel Aviv 6997801, Israel.
  • Shlomi O; Department of Gastroenterology, Sheba Medical Center, Tel Hashomer, Ramat Gan 5262100, Israel.
  • Albshesh A; Sackler School of Medicine, Tel Aviv University, P.O.B 39040, Tel Aviv 6997801, Israel.
  • Soffer S; Department of Gastroenterology, Sheba Medical Center, Tel Hashomer, Ramat Gan 5262100, Israel.
  • Klang E; Sackler School of Medicine, Tel Aviv University, P.O.B 39040, Tel Aviv 6997801, Israel.
  • Ben Horin S; Department of Internal Medicine F, Sheba Medical Center, Tel Hashomer, Ramat Gan 5262100, Israel.
  • Eliakim R; Sackler School of Medicine, Tel Aviv University, P.O.B 39040, Tel Aviv 6997801, Israel.
  • Kopylov U; Department of Gastroenterology, Sheba Medical Center, Tel Hashomer, Ramat Gan 5262100, Israel.
  • Margalit Yehuda R; Internal Medicine B, Assuta Medical Center, Ashdod, Israel, Ben-Gurion University of the Negev, Be'er Sheva 8410501, Israel.
Diagnostics (Basel) ; 12(10)2022 Oct 14.
Article en En | MEDLINE | ID: mdl-36292178

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2022 Tipo del documento: Article