Self-Supervised Convolutional Neural Network Trained on Retinal Digital Color Images Can Identify Pre-Symptomatic Alzheimer's Disease

被引：0
|
作者：
Dumitrascu, Oana [1 ]
Li, Xin [2 ]
Youssef, Amal [3 ]
Zhu, Wenhui [2 ]
Sobczak, Jacob [2 ]
Saxena, Siddhant [3 ]
Woodruff, Bryan [3 ]
Caselli, Richard [3 ]
Wang, Yalin [2 ]
机构：
[1] Mayo Clin, Scottsdale, AZ USA
[2] Arizona State Univ, Sch Comp & Augmented Intelligence, Tempe, AZ USA
[3] Mayo Clin, Dept Neurol, Scottsdale, AZ USA
来源：
ANNALS OF NEUROLOGY | 2024年 / 96卷
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
S1.108
引用
收藏
页码：S124 / S124
页数：1
相关论文
共 38 条
  • [1] Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging
    Wisely, C. Ellis
    Wang, Dong
    Henao, Ricardo
    Grewal, Dilraj S.
    Thompson, Atalie C.
    Robbins, Cason B.
    Yoon, Stephen P.
    Soundararajan, Srinath
    Polascik, Bryce W.
    Burke, James R.
    Liu, Andy
    Carin, Lawrence
    Fekrat, Sharon
    BRITISH JOURNAL OF OPHTHALMOLOGY, 2022, 106 (03) : 388 - 395
  • [2] Phase retrieval of color images based on a self-supervised deep neural network
    Zhang, Na
    Duan, Zejun
    Liu, Shaoding
    Zhang, Qiang
    ADVANCED FIBER LASER CONFERENCE, AFL2022, 2022, 12595
  • [3] Self-supervised pre-trained neural network for quantum natural language processing
    Yao, Ben
    Tiwari, Prayag
    Li, Qiuchi
    NEURAL NETWORKS, 2025, 184
  • [4] Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?
    Sarkar, Eklavya
    Magimai-Doss, Mathew
    INTERSPEECH 2023, 2023, : 1189 - 1193
  • [5] Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples
    Rahmatallah, Yasir
    Kemp, Aaron S.
    Iyer, Anu
    Pillai, Lakshmi
    Larson-Prior, Linda J.
    Virmani, Tuhin
    Prior, Fred
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [6] COMPARATIVE ANALYSIS OF SELF-SUPERVISED PRE-TRAINED VISION TRANSFORMERS AND CONVOLUTIONAL NEURAL NETWORKS WITH CHEXNET IN CLASSIFYING LUNG CONDITIONS
    Elwirehardja, Gregorius natanael
    Liem, Steve marcello
    Adjie, Maria linneke
    Tjan, Farrel alexander
    Setiawan, Joselyn
    Syahputra, Muhammad edo
    Muljo, Hery harjono
    COMMUNICATIONS IN MATHEMATICAL BIOLOGY AND NEUROSCIENCE, 2025,
  • [7] A Pre-trained Neural Network to Predict Alzheimer's Disease at an Early Stage
    Davuluri, Ragavamsi
    Rengaswamy, Ragupathy
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (05) : 194 - 200
  • [8] Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Through Retinal Fundus Images
    Escorcia-Gutierrez, Jose
    Cuello, Jose
    Barraza, Carlos
    Gamarra, Margarita
    Romero-Aroca, Pere
    Caicedo, Eduardo
    Valls, Aida
    Puig, Domenec
    COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT (CISIM 2022), 2022, 13293 : 202 - 213
  • [9] Grading the severity of diabetic retinopathy using an ensemble of self-supervised pre-trained convolutional neural networks: ESSP-CNNs
    Parsa S.
    Khatibi T.
    Multimedia Tools and Applications, 2024, 83 (42) : 89837 - 89870
  • [10] Implications of Convolutional Neural Network for Brain MRI Image Classification to Identify Alzheimer's Disease
    Yakkundi, Ananya
    Gupta, Radha
    Ramesh, Kokila
    Verma, Amit
    Khan, Umair
    Ansari, Mushtaq Ahmad
    PARKINSONS DISEASE, 2024, 2024
1234