Deep learning-based fully automated dry eye disease severity grading system

被引:0
|
作者
Yoon, Chang Ho [1 ,2 ]
Kim, Seonghwan [1 ,2 ]
Park, Daseul [3 ,4 ]
Shin, Youmin [3 ,4 ]
Kim, Mee Kum [1 ,2 ]
Jeon, Hyun Sun [1 ,5 ]
Kim, Young-Gon [3 ]
机构
[1] Seoul Natl Univ, Coll Med, Ophthalmol, Seoul, South Korea
[2] Seoul Natl Univ Hosp, Lab Ocular Regenerat Med & Immunol, Biomed Res Inst, Seoul, South Korea
[3] Seoul Natl Univ Hosp, Transdisciplinary Dept Med & Adv Technol, Seoul, South Korea
[4] Seoul Natl Univ, Interdisciplinary Program Bioengn, Grad Sch, Seoul, South Korea
[5] Seoul Natl Univ, Bundang Hosp, Ophthalmol, Seongnam, South Korea
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
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Automated Image Capturing System for Deep Learning-based Tomato Plant Leaf Disease Detection and Recognition
    de Luna, Robert G.
    Dadios, Elmer P.
    Bandala, Argel A.
    PROCEEDINGS OF TENCON 2018 - 2018 IEEE REGION 10 CONFERENCE, 2018, : 1414 - 1419
  • [42] DDLSNet: a novel deep learning-based system for grading glaucomatous funduscopic images for damage
    Rasheed, Haroon
    Morales, Esteban
    Davis, Tyler Austin
    Fei, Zhe
    Grassi, Lourdes
    De Gainza, Agustina
    Caprioli, Joseph
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
  • [43] A fully automated approach involving neuroimaging and deep learning for Parkinson's disease detection and severity prediction
    Erdas, Cagatay Berke
    Sumer, Emre
    PEERJ COMPUTER SCIENCE, 2023, 9 : 1 - 11
  • [44] Statistical Evaluation of Smartphone-Based Automated Grading System for Ocular Redness Associated with Dry Eye Disease and Implications for Clinical Trials
    Rodriguez, John D.
    Hamm, Adam
    Bensinger, Ethan
    Kerti, Samanatha J.
    Gomes, Paul J.
    Ousler Iii, George W.
    Gupta, Palak
    De Moraes, Carlos Gustavo
    Abelson, Mark B.
    CLINICAL OPHTHALMOLOGY, 2025, 19 : 907 - 914
  • [45] Investigating the role of morphology in deep learning-based liposarcoma grading
    Kiechle, Johannes
    Foreman, Sarah C.
    Fischer, Stefan
    Rusche, Daniel
    Roesner, Verena
    Lohse, Ann-Kathrin
    Mogler, Carolin
    Combs, Stephanie E.
    Makowski, Marcus R.
    Woertler, Klaus
    Lang, Daniel M.
    Schnabel, Julia A.
    Gersing, Alexandra S.
    Peeken, Jan C.
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S4565 - S4567
  • [46] The Validation of Deep Learning-Based Grading Model for Diabetic Retinopathy
    Zhang, Wen-fei
    Li, Dong-hong
    Wei, Qi-jie
    Ding, Da-yong
    Meng, Li-hui
    Wang, Yue-lin
    Zhao, Xin-yu
    Chen, You-xin
    FRONTIERS IN MEDICINE, 2022, 9
  • [47] Deep Learning-Based Automated Feature Engineering for Rice Leaf Disease Prediction
    Das, Ankur
    Mallick, Chirantana
    Dutta, Soumi
    COMPUTATIONAL INTELLIGENCE IN PATTERN RECOGNITION, CIPR 2020, 2020, 1120 : 133 - 141
  • [48] Deep transfer learning-based automated detection of blast disease in paddy crop
    Singh, Amandeep
    Kaur, Jaspreet
    Singh, Kuldeep
    Singh, Maninder Lal
    SIGNAL IMAGE AND VIDEO PROCESSING, 2024, 18 (01) : 569 - 577
  • [49] Deep transfer learning-based automated detection of blast disease in paddy crop
    Amandeep Singh
    Jaspreet Kaur
    Kuldeep Singh
    Maninder Lal Singh
    Signal, Image and Video Processing, 2024, 18 : 569 - 577
  • [50] Deep learning-based automated disease detection and classification model for precision agriculture
    Pavithra, A.
    Kalpana, G.
    Vigneswaran, T.
    SOFT COMPUTING, 2023, 28 (Suppl 2) : 463 - 463