Contrastive learning improves representation and transferability of diabetic retinopathy classification models

被引:0
|
作者
Alam, Minhaj Nur [1 ,2 ]
Leng, Theodore [3 ]
Hallak, Joelle [2 ,4 ]
Rubin, Daniel [1 ]
机构
[1] Stanford Univ, Sch Med, Biomed Data Sci, Stanford, CA 94305 USA
[2] Univ Illinois, Illinois Eye & Ear Infirm, Dept Ophthalmol & Visual Sci, Chicago, IL USA
[3] Stanford Univ, Sch Med, Stanford, CA 94305 USA
[4] AbbVie Inc, N Chicago, IL 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
1156
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Diabetic Retinopathy Detection Using Deep Learning Models
    Kanakaprabha, S.
    Radha, D.
    Santhanalakshmi, S.
    UBIQUITOUS INTELLIGENT SYSTEMS, 2022, 302 : 75 - 90
  • [42] Unsupervised SAR Representation Learning Improves Classification Performance
    Vaughn, Nolan
    Sullivan, Bo
    Jaskie, Kristen
    AUTOMATIC TARGET RECOGNITION XXXIV, 2024, 13039
  • [43] Ensemble Models for Multi-class Classification of Diabetic Retinopathy
    Sahayam, Subin
    Manasa, Tutturu Lakshmi
    Jayaraman, Umarani
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PREMI 2021, 2024, 13102 : 110 - 117
  • [44] Detection and Classification of Diabetic Retinopathy Using DCNN and BSN Models
    Sudha, S.
    Srinivasan, A.
    Devi, T. Gayathri
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 72 (01): : 597 - 609
  • [45] A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability
    Zhou, Yi
    Wang, Boyang
    Huang, Lei
    Cui, Shanshan
    Shao, Ling
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 40 (03) : 818 - 828
  • [46] A Broad Study on the Transferability of Visual Representations with Contrastive Learning
    Islam, Ashraful
    Chen, Chun-Fu
    Panda, Rameswar
    Karlinsky, Leonid
    Radke, Richard
    Feris, Rogerio
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), 2021, : 8825 - 8835
  • [47] Lesion-Based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
    Huang, Yijin
    Lin, Li
    Cheng, Pujin
    Lyu, Junyan
    Tang, Xiaoying
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT II, 2021, 12902 : 113 - 123
  • [48] Contrastive Code Representation Learning
    Jain, Paras
    Jain, Ajay
    Zhang, Tianjun
    Abbeel, Pieter
    Gonzalez, Joseph E.
    Stoica, Ion
    2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021), 2021, : 5954 - 5971
  • [49] Learning protein language contrastive models with multi-knowledge representation
    Xu, Wenjun
    Xia, Yingchun
    Sun, Bifan
    Zhao, Zihao
    Tang, Lianggui
    Zhou, Obo
    Wang, Qingyong
    Gu, Lichuan
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2025, 164
  • [50] Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy
    Mohanty, Cheena
    Mahapatra, Sakuntala
    Acharya, Biswaranjan
    Kokkoras, Fotis
    Gerogiannis, Vassilis C.
    Karamitsos, Ioannis
    Kanavos, Andreas
    SENSORS, 2023, 23 (12)