您当前的位置:
首页 >
文章列表页 >
Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives
更新时间:2023-11-15
    • Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives

    • AOPR   Vol. 2, Issue 3, Pages: 100078(2022)
    • DOI:10.1016/j.aopr.2022.100078    

      CLC:

    扫 描 看 全 文

  • Kai Jin, Juan Ye. Artificial intelligence and deep learning in ophthalmology: Current status and future perspectives. [J]. AOPR 2(3):100078(2022) DOI: 10.1016/j.aopr.2022.100078.

  •  
查看原文

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Research progress of iron metabolism in retinal diseases
Quantification of vascular morphology in optical coherence tomography angiography in primary open angle glaucoma
Mechanisms of electrical stimulation in eye diseases: A narrative review
Research progress of lens zonules
A preliminary observation on rod cell photobiomodulation in treating diabetic macular edema

Related Author

No data

Related Institution

Department of Ophthalmology, The First Affiliated Hospital of Harbin Medical University
Department of Ophthalmology, Shenzhen Third People's Hospital
The First Affiliated Hospital of Harbin Medical University
Department of Ophthalmology, University of Texas at Southwestern Medical Center
Department of Ophthalmology, Veteran Affairs North Texas Health Care Medical Center
0