Development of a code-free machine learning model for the classification of cataract surgery phases

This study assessed the performance of automated machine learning (AutoML) in classifying cataract surgery phases from surgical videos. Two ophthalmology trainees without coding experience designed a deep learning model in Google Cloud AutoML Video Classification for the classification of 10 differe...

Descripción completa

Detalles Bibliográficos
Autores principales: Touma, Samir, Antaki, Fares, Duval, Renaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844421/
https://www.ncbi.nlm.nih.gov/pubmed/35165304
http://dx.doi.org/10.1038/s41598-022-06127-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844421/
https://www.ncbi.nlm.nih.gov/pubmed/35165304
http://dx.doi.org/10.1038/s41598-022-06127-5

Ejemplares similares