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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Front Med (Lausanne)
मुख्य लेखकों: Sun, Dandan, Du, Yuchen, Chen, Qiuying, Ye, Luyao, Chen, Huai, Li, Menghan, He, Jiangnan, Zhu, Jianfeng, Wang, Lisheng, Fan, Ying, Xu, Xun
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Frontiers Media S.A. 2021
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC8116583/
https://ncbi.nlm.nih.gov/pubmed/33996860
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmed.2021.657566
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