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

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 into discre...

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Detalles Bibliográficos
Autores principales: Gruver, Aaron M., Lu, Haiyan, Zhao, Xiaoxian, Fulford, Angie D., Soper, Michael D., Ballard, Darryl, Hanson, Jeffrey C., Schade, Andrew E., Hsi, Eric D., Gottlieb, Klaus, Credille, Kelly M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638821/
https://www.ncbi.nlm.nih.gov/pubmed/37951937
http://dx.doi.org/10.1186/s13000-023-01412-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638821/
https://www.ncbi.nlm.nih.gov/pubmed/37951937
http://dx.doi.org/10.1186/s13000-023-01412-x

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