Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Artificial intelligence screening for diabetic retinopathy: the real-world emerging application
Abstract Purpose of Review This paper systematically reviews the recent progress in
diabetic retinopathy screening. It provides an integrated overview of the current state of …
diabetic retinopathy screening. It provides an integrated overview of the current state of …
Artificial intelligence for social good: A survey
Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …
advance artificial intelligence to address societal issues and improve the well-being of the …
An overview of deep-learning-based methods for cardiovascular risk assessment with retinal images
RG Barriada, D Masip - Diagnostics, 2022 - mdpi.com
Cardiovascular diseases (CVDs) are one of the most prevalent causes of premature death.
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …
Stroke risk prediction with hybrid deep transfer learning framework
J Chen, Y Chen, J Li, J Wang, Z Lin… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Stroke has become a leading cause of death and long-term disability in the world with no
effective treatment. Deep learning-based approaches have the potential to outperform …
effective treatment. Deep learning-based approaches have the potential to outperform …
A Siamese ResNeXt network for predicting carotid intimal thickness of patients with T2DM from fundus images
AJ Gong, W Fu, H Li, N Guo, T Pan - Frontiers in Endocrinology, 2024 - frontiersin.org
Objective To develop and validate an artificial intelligence diagnostic model based on
fundus images for predicting Carotid Intima-Media Thickness (CIMT) in individuals with Type …
fundus images for predicting Carotid Intima-Media Thickness (CIMT) in individuals with Type …
Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs
Abstract Background/Objectives Artificial intelligence can assist with ocular image analysis
for screening and diagnosis, but it is not yet capable of autonomous full-spectrum screening …
for screening and diagnosis, but it is not yet capable of autonomous full-spectrum screening …
An automatic framework for perioperative risks classification from retinal images of complex congenital heart disease patients
The number of patient suffering from complex congenital heart diseases (CHDs) increases
gradually each year. The perioperative parameters assessment of complex CHDs patients is …
gradually each year. The perioperative parameters assessment of complex CHDs patients is …
Detection of systemic diseases from ocular images using artificial intelligence: A systematic review
Purpose: Despite the huge investment in health care, there is still a lack of precise and
easily accessible screening systems. With proven associations to many systemic diseases …
easily accessible screening systems. With proven associations to many systemic diseases …
Vessel-net: A vessel-aware ensemble network for retinopathy screening from fundus image
D Luo, L Shen - 2020 IEEE International Conference on Image …, 2020 - ieeexplore.ieee.org
Retinal diseases are one of the most popular malady in modern world with increasingly use
of electronic screens. Previous studies on deep learning based automatic screening …
of electronic screens. Previous studies on deep learning based automatic screening …