Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Journal of Innovative Optical Health Sciences, Volume. 16, Issue 6, 2350008(2023)

Accuracy improvement for classifying retinal OCT images by diseases using deep learning-based selective denoising approach

Lantian Hu... Ruixiang Guo, Sifan Li, Jing Cao* and Qian Liu |Show fewer author(s)
Author Affiliations
  • Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, P. R. China
    • show less
    AbstractGet PDF
    Figures&Tables (0)
    Equations (0)
    References (38)
    Tools
    Paper Information
    Topics
    Figures & Tables(0)
    Tools

    Get Citation

    Copy Citation Text

    Lantian Hu, Ruixiang Guo, Sifan Li, Jing Cao, Qian Liu. Accuracy improvement for classifying retinal OCT images by diseases using deep learning-based selective denoising approach[J]. Journal of Innovative Optical Health Sciences, 2023, 16(6): 2350008

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Dec. 24, 2022

    Accepted: Mar. 21, 2023

    Published Online: Dec. 23, 2023

    The Author Email: Cao Jing (caoj@hainanu.edu.cn)

    DOI:10.1142/S1793545823500086

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology