Robust deep learning for automated AMD screening and staging based on a retinal foundation model

被引:0
|
作者
Araujo, Teresa [1 ]
Aresta, Guilherme Moreira [1 ]
Schmidt-Erfurth, Ursula [2 ]
Bogunovic, Hrvoje [1 ]
机构
[1] Med Univ Wien, Christian Doppler Lab Artificial Intelligence Ret, Vienna, Austria
[2] Med Univ Wien, Ophthalmol, Vienna, Austria
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
2833
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Automated detection and classification of early AMD biomarkers using deep learning
    Saha, Sajib
    Nassisi, Marco
    Wang, Mo
    Lindenberg, Sophiana
    Kanagasingam, Yogi
    Sadda, Srinivas
    Hu, Zhihong Jewel
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [22] Automated detection and classification of early AMD biomarkers using deep learning
    Sajib Saha
    Marco Nassisi
    Mo Wang
    Sophiana Lindenberg
    Yogi kanagasingam
    Srinivas Sadda
    Zhihong Jewel Hu
    Scientific Reports, 9
  • [23] Fully automated detection of retinal disorders by image-based deep learning
    Li, Feng
    Chen, Hua
    Liu, Zheng
    Zhang, Xuedian
    Wu, Zhizheng
    GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY, 2019, 257 (03) : 495 - 505
  • [24] Fully automated detection of retinal disorders by image-based deep learning
    Feng Li
    Hua Chen
    Zheng Liu
    Xuedian Zhang
    Zhizheng Wu
    Graefe's Archive for Clinical and Experimental Ophthalmology, 2019, 257 : 495 - 505
  • [25] A deep learning model for screening type 2 diabetes from retinal photographs
    Yun, Jae-Seung
    Kim, Jaesik
    Jung, Sang-Hyuk
    Cha, Seon-Ah
    Ko, Seung-Hyun
    Ahn, Yu-Bae
    Won, Hong-Hee
    Sohn, Kyung-Ah
    Kim, Dokyoon
    NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES, 2022, 32 (05) : 1218 - 1226
  • [26] A SEGMENTATION BASED ROBUST DEEP LEARNING FRAMEWORK FOR MULTIMODAL RETINAL IMAGE REGISTRATION
    Wang, Yiqian
    Zhang, Junkang
    An, Cheolhong
    Cavichini, Melina
    Jhingan, Mahima
    Amador-Patarroyo, Manuel J.
    Long, Christopher P.
    Bartsch, Dirk-Uwe G.
    Freeman, William R.
    Nguyen, Truong Q.
    2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 1369 - 1373
  • [27] Deep Learning Based Model for Fundus Retinal Image Classification
    Thanki, Rohit
    SOFT COMPUTING AND ITS ENGINEERING APPLICATIONS, ICSOFTCOMP 2022, 2023, 1788 : 238 - 249
  • [28] STRENGTHENING DEEP LEARNING MODEL FOR ROBUST SCREENING OF VOLUMETRIC CHEST RADIOGRAPHIC SCANS
    Owais, Muhammad
    Hassan, Taimur
    Gour, Neha
    Ganapathi, Iyyakutti Iyappan
    Werghi, Naoufel
    2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2023, : 1545 - 1549
  • [29] Deep learning-based automated fluid quantification in clinical routine OCT images in neovascular AMD
    Gerendas, Bianca S. S.
    Sadeghipour, Amir
    Michl, Martin
    Alten, Thomas
    Buehl, Wolf
    Sacu, Stefan
    Bogunovic, Hrvoje
    Schmidt-Erfurth, Ursula
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2020, 61 (07)
  • [30] Automated deep learning-based AMD stage detection in real-world OCT datasets
    Leingang, Oliver
    Bogunovic, Hrvoje
    Riedl, Sophie
    Chakravarty, Arunava
    Menten, Martin Joseph
    Holland, Robbie
    Traber, Ghislaine L.
    Fritsche, Lars
    Prevost, Toby
    Scholl, Hendrik P.
    Rueckert, Daniel
    Sivaprasad, Sobha
    Lotery, Andrew J.
    Schmidt-Erfurth, Ursula
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)