Machine Learning Analysis of Postkeratoplasty Endothelial Cell Images for the Prediction of Future Graft Rejection

PURPOSE: This study developed machine learning (ML) classifiers of postoperative corneal endothelial cell images to identify postkeratoplasty patients at risk for allograft rejection within 1 to 24 months of treatment. METHODS: Central corneal endothelium specular microscopic images were obtained fr...

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Detalles Bibliográficos
Autores principales: Joseph, Naomi, Benetz, Beth Ann, Chirra, Prathyush, Menegay, Harry, Oellerich, Silke, Baydoun, Lamis, Melles, Gerrit R. J., Lass, Jonathan H., Wilson, David L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940770/
https://www.ncbi.nlm.nih.gov/pubmed/36790821
http://dx.doi.org/10.1167/tvst.12.2.22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9940770/
https://www.ncbi.nlm.nih.gov/pubmed/36790821
http://dx.doi.org/10.1167/tvst.12.2.22

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