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
来源：
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | 2023年 / 64卷 / 08期
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
  • [21] DIANA: A deep learning-based paprika plant disease and pest phenotyping system with disease severity analysis
    Ilyas, Talha
    Jin, Hyungjun
    Siddique, Muhammad Irfan
    Lee, Sang Jun
    Kim, Hyongsuk
    Chua, Leon
    [J]. FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [22] AUTOMATED SEVERITY GRADING OF RADIOGRAPHIC HIP OSTEOARTHRITIS FEATURES WITH DEEP LEARNING
    von Schacky, C. E.
    Liu, F.
    Foreman, S. C.
    Jungmann, P. M.
    Nardo, L.
    Nevitt, M. C.
    Link, T. M.
    Sohn, J. H.
    Pedoia, V.
    [J]. OSTEOARTHRITIS AND CARTILAGE, 2019, 27 : S396 - S397
  • [23] Deep learning-based automated grading of visual impairment in cataract patients using fundus images
    蒋杰伟
    ZHANG Yi
    XIE He
    GONG Jiamin
    ZHU Shaomin
    WU Shanjun
    LI Zhongwen
    [J]. High Technology Letters, 2023, 29 (04) : 377 - 387
  • [24] Deep learning-based automated grading of visual impairment in cataract patients using fundus images
    Jiang, Jiewei
    Zhang, Yi
    Xie, He
    Gong, Jiamin
    Zhu, Shaomin
    Wu, Shanjun
    Li, Zhongwen
    [J]. High Technology Letters, 2023, 29 (04) : 377 - 387
  • [25] Leveraging deep learning-based mitosis detection models for supporting automated breast cancer grading
    Korski, K.
    Badowski, K.
    Li, X.
    Nie, Y.
    Abbasi-Sureshjani, S.
    [J]. VIRCHOWS ARCHIV, 2022, 481 (SUPPL 1) : S77 - S77
  • [26] Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning
    Brown, James M.
    Campbell, J. Peter
    Beers, Andrew
    Chang, Ken
    Donohue, Kyra
    Ostmo, Susan
    Chan, R. V. Paul
    Dy, Jennifer
    Erdogmus, Deniz
    Ioannidis, Stratis
    Chiang, Michael F.
    Kalpathy-Cramer, Jayashree
    [J]. MEDICAL IMAGING 2018: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, 2018, 10579
  • [27] Deep learning-based eye tracking system to detect distracted driving
    Xin, Song
    Zhang, Shuo
    Xu, Wanrong
    Yang, Yuxiang
    Zhang, Xiao
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (09)
  • [28] Deep learning-based automated optical inspection system for crimp connections
    Nguyen, Huong Giang
    Meiners, Moritz
    Schmidt, Lorenz
    Franke, Joerg
    [J]. 2020 10TH INTERNATIONAL ELECTRIC DRIVES PRODUCTION CONFERENCE (EDPC), 2020, : 306 - 310
  • [29] Dicentric chromosome assay using a deep learning-based automated system
    Soo Kyung Jeong
    Su Jung Oh
    Song-Hyun Kim
    Seungsoo Jang
    Yeong-Rok Kang
    HyoJin Kim
    Yong Uk Kye
    Seong Hun Lee
    Chang Geun Lee
    Moon-Taek Park
    Joong Sun Kim
    Min Ho Jeong
    Wol Soon Jo
    [J]. Scientific Reports, 12 (1)
  • [30] Dicentric chromosome assay using a deep learning-based automated system
    Jeong, Soo Kyung
    Oh, Su Jung
    Kim, Song-Hyun
    Jang, Seungsoo
    Kang, Yeong-Rok
    Kim, HyoJin
    Kye, Yong Uk
    Lee, Seong Hun
    Lee, Chang Geun
    Park, Moon-Taek
    Kim, Joong Sun
    Jeong, Min Ho
    Jo, Wol Soon
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01):
12345