AOSLO-net: A Deep Learning-Based Method for Automatic Segmentation of Retinal Microaneurysms From Adaptive Optics Scanning Laser Ophthalmoscopy Images-Reference-Cited by-同舟云学术

AOSLO-net: A Deep Learning-Based Method for Automatic Segmentation of Retinal Microaneurysms From Adaptive Optics Scanning Laser Ophthalmoscopy Images

Published:2022-08-08 Issue:8 Volume:11 Page:7
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Zhang Qian¹,Sampani Konstantina²,Xu Mengjia¹³,Cai Shengze¹,Deng Yixiang⁴,Li He⁴,Sun Jennifer K.²,Karniadakis George Em⁵

Affiliation:

1. Division of Applied Mathematics, Brown University, Providence, RI, USA

2. Beetham Eye Institute, Joslin Diabetes Center, Department of Medicine and Department of Ophthalmology, Harvard Medical School, Boston, MA, USA

3. McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA

4. School of Engineering, Brown University, Providence, RI, USA

5. Division of Applied Mathematics and School of Engineering, Brown University, Providence, RI, USA

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference51 articles.

1. Current understanding of the molecular and cellular pathology of diabetic retinopathy;Antonetti;Nat Rev Endocrinol,2021

2. Associations between capillary diameter, capillary density, and microaneurysms in diabetic retinopathy: A high-resolution confocal microscopy study;An;Transl Vis Sci Technol,2021

3. Grading diabetic retinopathy from stereoscopic color fundus photographs—an extension of the Modified Airlie House Classification: ETDRS Report Number 10;Early Treatment Diabetic Retinopathy Study Research Group;Ophthalmology,1991

4. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales;Wilkinson;Ophthalmology,2003

5. Deep-learning-based prediction of late age-related macular degeneration progression;Yan;Nat Mach Intell,2020

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep neural network for operator learning enhanced by attention and gating mechanisms for long-time forecasting of tumor growth;Engineering with Computers;2024-07-10

2. Semi-supervised generative adversarial learning for denoising adaptive optics retinal images;Biomedical Optics Express;2024-02-06

3. 共聚焦激光扫描检眼镜研究进展与应用（特邀）;Laser & Optoelectronics Progress;2024

4. TGM-Nets: A deep learning framework for enhanced forecasting of tumor growth by integrating imaging and modeling;Engineering Applications of Artificial Intelligence;2023-11

5. A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage;Engineering Applications of Artificial Intelligence;2023-11