Imaging Features by Machine Learning for Quantification of Optic Disc Changes and Impact on Choroidal Thickness in Young Myopic Patients

Purpose: To construct quantifiable models of imaging features by machine learning describing early changes of optic disc and peripapillary region, and to explore their performance as early indicators for choroidal thickness (ChT) in young myopic patients. Methods: Eight hundred and ninety six subjec...

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Detalles Bibliográficos
Autores principales: Sun, Dandan, Du, Yuchen, Chen, Qiuying, Ye, Luyao, Chen, Huai, Li, Menghan, He, Jiangnan, Zhu, Jianfeng, Wang, Lisheng, Fan, Ying, Xu, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116583/
https://www.ncbi.nlm.nih.gov/pubmed/33996860
http://dx.doi.org/10.3389/fmed.2021.657566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116583/
https://www.ncbi.nlm.nih.gov/pubmed/33996860
http://dx.doi.org/10.3389/fmed.2021.657566

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