Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia

Abstract This study aims to quantify fundus tessellated (FT) density and optic disc (OD) morphology using deep learning (DL) techniques and to investigate the correlations between these fundus characteristics and refractive function in young patients with myopia. We constructed two DL-based segmenta...

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Detalles Bibliográficos

Principais autores:	Zhen Guo, Lingzhi Chen, LiLong Wang, Yan Gao, Qianqian Liang, Shuyue Xue, Qing Du, Zhichun Zhang, Bin Lv, Guanzheng Wang, Guotong Xie, Jun Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2024-11-01
Series:	Scientific Reports
Assuntos:	Myopia Deep learning Fundus tessellated density Optic disc characteristics
Acceso en liña:	https://doi.org/10.1038/s41598-024-80090-1
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