Deep Learning Multi-Domain Model Provides Accurate Detection and Grading of Mucosal Ulcers in Different Capsule Endoscopy Types

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 t...

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Detalles Bibliográficos
Autores principales: 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, Horin, Shomron Ben, Eliakim, Rami, Kopylov, Uri, Yehuda, Reuma Margalit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600959/
https://www.ncbi.nlm.nih.gov/pubmed/36292178
http://dx.doi.org/10.3390/diagnostics12102490

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600959/
https://www.ncbi.nlm.nih.gov/pubmed/36292178
http://dx.doi.org/10.3390/diagnostics12102490

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