Exploring Deep-Learning on SD-OCT images as an Effective Mitigation Technique for Hydroxychloroquine-Induced Retinal Toxicity

被引:0
|
作者
Bandhey, Harsh [1 ]
Del Risco, Amanda [2 ]
Gao, Qitong [1 ]
Rathinavelu, Jay [2 ]
Pajic, Miroslav [1 ]
Hadziahmetovic, Majda [3 ]
机构
[1] Duke Univ, Elect & Comp Engn, Durham, NC USA
[2] Duke Univ, Sch Med, Durham, NC USA
[3] Duke Univ, Dept Ophthalmol, Durham, NC USA
关键词
D O I
暂无
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
3330 - F01
引用
收藏
页数:4
相关论文
共 17 条
  • [1] Classification of SD-OCT images using a Deep learning approach
    Awais, Muhammad
    Mueller, Henning
    Tang, Tong B.
    Meriaudeau, Fabrice
    2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA), 2017, : 489 - 492
  • [2] Weakly Supervised Retinal Detachment Segmentation Using Deep Feature Propagation Learning in SD-OCT Images
    Wang, Tieqiao
    Niu, Sijie
    Dong, Jiwen
    Chen, Yuehui
    OPHTHALMIC MEDICAL IMAGE ANALYSIS, OMIA 2020, 2020, 12069 : 146 - 154
  • [3] Deep Residual Network Based Quality Assessment for SD-OCT Retinal Images: Preliminary Study
    Zhang, Min
    Wang, Jia Yang
    Zhang, Lei
    Feng, Jun
    Lv, Yi
    MEDICAL IMAGING 2019: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT, 2019, 10952
  • [4] Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images
    Ji, Zexuan
    Chen, Qiang
    Niu, Sijie
    Leng, Theodore
    Rubin, Daniel L.
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2018, 7 (01):
  • [5] Weakly supervised serous retinal detachment segmentation in SD-OCT images by two-stage learning
    Xing, Ruiwen
    Niu, Sijie
    Gao, Xizhan
    Liu, TIngting
    Fan, Wen
    Chen, Yuehui
    BIOMEDICAL OPTICS EXPRESS, 2021, 12 (04) : 2312 - 2327
  • [6] Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP
    Wang, Yi-Zhong
    Galles, Daniel
    Klein, Martin
    Locke, Kirsten G.
    Birch, David G.
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2020, 9 (02): : 1 - 12
  • [7] Feasibility of Machine Learning-based Assessment for Hydroxychloroquine Toxicity Utilizing Multi-Layer SD-OCT Feature Interrogation
    Kalra, Gagan
    Talcott, Katherine
    Hu, Ming
    Srivastava, Sunil K.
    Le, Thuy
    Lunasco, Leina
    Reese, Jamie
    Ehlers, Justis P.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2021, 62 (11)
  • [8] Hyper-reflective foci segmentation in SD-OCT retinal images with diabetic retinopathy using deep convolutional neural networks
    Yu, Chenchen
    Xie, Sha
    Niu, Sijie
    Ji, Zexuan
    Fan, Wen
    Yuan, Songtao
    Liu, Qinghuai
    Chen, Qiang
    MEDICAL PHYSICS, 2019, 46 (10) : 4502 - 4519
  • [9] Machine Learning-based Prediction for Development of New Hydroxychloroquine Retinopathy based on Quantitative Outer Retinal SD-OCT Features and Clinical Variables
    Cohen, Daniel
    Kalra, Gagan
    Talcott, Katherine E.
    Kaiser, Stephanie
    Uguegbu, Obinna
    Hu, Ming
    Srivastava, Sunil K.
    Ehlers, Justis P.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
  • [10] Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans
    Moradi, Mousa
    Chen, Yu
    Du, Xian
    Seddon, Johanna M.
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 154