Ocular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation

被引:0
|
作者
Rui Li
Ying Hui
Xiaoyue Zhang
Shun Zhang
Bin Lv
Yuan Ni
Xiaoshuai Li
Xiaoliang Liang
Ling Yang
Han Lv
Zhiyu Yin
Hongyang Li
Yingping Yang
Guangfeng Liu
Jing Li
Guotong Xie
Shouling Wu
Zhenchang Wang
机构
[1] Beijing Friendship Hospital,Department of Radiology
[2] Capital Medical University,Department of Psychiatry
[3] Ping An Healthcare Technology,School of Public Health
[4] Kailuan Mental Health Centre,Department of Ophthalmology
[5] North China University of Science and Technology,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College
[6] Longzhen Senior Care,Department of Ophthalmology
[7] Beijing Friendship Hospital,Department of Cardiology
[8] Capital Medical University,undefined
[9] Huazhong University of Science and Technology,undefined
[10] Peking University International Hospital,undefined
[11] Kailuan General Hospital,undefined
来源
关键词
Retinal microvascular parameters; Cognitive function; Deep learning segmentation; Fundus photography;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] Deep-Learning Based Cell Segmentation and Deconvolution in Spatial Transcriptomics
    Kamel, Mena
    Sarangi, Amrut
    Qin, Cindy
    Barot, Het
    Senin, Pavel
    Villordo, Sergio
    Mathew, Sunaal
    Planas, Albert Pla
    Bar-Joseph, Ziv
    14TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS, BCB 2023, 2023,
  • [32] Deep-learning based segmentation of ultrasound adipose image for liposuction
    Cai, Ruxin
    Liu, Yanzhen
    Sun, Zhibin
    Wang, Yuneng
    Wang, Yu
    Li, Facheng
    Jiang, Haiyue
    INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, 2023, 19 (06):
  • [33] Deep-learning based automated segmentation of Diabetic Retinopathy symptoms
    Yeh, Hung
    Lin, Cheng-Jhong
    Hsu, Chih-Chung
    Lee, Chia-Yen
    2020 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2020), 2021, : 497 - 499
  • [34] Deep Learning-Based Liver Vessel Segmentation
    Hille, Georg
    Jahangir, Tameem
    Hürtgen, Janine
    Kreher, Rober
    Saalfeld, Sylvia
    Current Directions in Biomedical Engineering, 2024, 10 (01) : 29 - 32
  • [35] An Improved Retinal Vessel Segmentation Method Based on Supervised Learning
    Zhu, Chengzhang
    Zou, Beiji
    Xiang, Yao
    Cui, Jinkai
    Wu, Hui
    2015 14TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN AND COMPUTER GRAPHICS (CAD/GRAPHICS), 2015, : 216 - 217
  • [36] Prediction of systemic biomarkers from retinal photographs: development and validation of deep-learning algorithms
    Rim, Tyler Hyungtaek
    Lee, Geunyoung
    Kim, Youngnam
    Tham, Yih-Chung
    Lee, Chan Joo
    Baik, Su Jung
    Kim, Yong Ah
    Yu, Marco
    Deshmukh, Mihir
    Lee, Byoung Kwon
    Park, Sungha
    Kim, Hyeon Chang
    Sabayanagam, Charumathi
    Ting, Daniel S. W.
    Wang, Ya Xing
    Jonas, Jost B.
    Kim, Sung Soo
    Wong, Tien Yin
    Cheng, Ching-Yu
    LANCET DIGITAL HEALTH, 2020, 2 (10): : E526 - E536
  • [37] Deep matched filtering for retinal vessel segmentation
    Tan, Yubo
    Yang, Kai-Fu
    Zhao, Shi-Xuan
    Wang, Jianglan
    Liu, Longqian
    Li, Yong-Jie
    KNOWLEDGE-BASED SYSTEMS, 2024, 283
  • [38] Deep Angiogram: Trivializing Retinal Vessel Segmentation
    Hu, Dewei
    Yao, Xing
    Wang, Jiacheng
    Tao, Yuankai K.
    Oguz, Ipek
    MEDICAL IMAGING 2023, 2023, 12464
  • [39] Dynamic Deep Networks for Retinal Vessel Segmentation
    Khanal, Aashis
    Estrada, Rolando
    FRONTIERS IN COMPUTER SCIENCE, 2020, 2
  • [40] A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation
    Yan, Zengqiang
    Yang, Xin
    Cheng, Kwang-Ting
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2019, 23 (04) : 1427 - 1436