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Unsupervised learning for large-scale corneal topography clustering

Machine learning algorithms have recently shown their precision and potential in many different use cases and fields of medicine. Most of the algorithms used are supervised and need a large quantity of labeled data to achieve high accuracy. Also, most applications of machine learning in medicine are...

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Detalles Bibliográficos
Autores principales: Zéboulon, Pierre, Debellemanière, Guillaume, Gatinel, Damien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550569/
https://www.ncbi.nlm.nih.gov/pubmed/33046810
http://dx.doi.org/10.1038/s41598-020-73902-7