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 …
AV-casNet: fully automatic arteriole-venule segmentation and differentiation in OCT angiography
Automatic segmentation and differentiation of retinal arteriole and venule (AV), defined as
small blood vessels directly before and after the capillary plexus, are of great importance for …
small blood vessels directly before and after the capillary plexus, are of great importance for …
VTG-net: a CNN based vessel topology graph network for retinal artery/vein classification
From diagnosing cardiovascular diseases to analyzing the progression of diabetic
retinopathy, accurate retinal artery/vein (A/V) classification is critical. Promising approaches …
retinopathy, accurate retinal artery/vein (A/V) classification is critical. Promising approaches …
Automatic detection of microaneurysms in fundus images using an ensemble-based segmentation method
In this study, a novel method for automatic microaneurysm detection in color fundus images
is presented. The proposed method is based on three main steps:(1) image breakdown to …
is presented. The proposed method is based on three main steps:(1) image breakdown to …
Objective-dependent uncertainty driven retinal vessel segmentation
From diagnosing neovascular diseases to detecting white matter lesions, accurate tiny
vessel segmentation in fundus images is critical. Promising results for accurate vessel …
vessel segmentation in fundus images is critical. Promising results for accurate vessel …
An efficient multitasking cascade network for arteriovenous segmentation using dual-modal fundus images
Our eyesight does not remain the same throughout our lives. Certain diseases start affecting
our vision with age, such as diabetic retinopathy, hypertension, and glaucoma. This has …
our vision with age, such as diabetic retinopathy, hypertension, and glaucoma. This has …
Effsemble: faster, smaller and more accurate ensemble networks for thoracic disease classification
AMC Antioquia - International Journal of Computer …, 2023 - inderscienceonline.com
Convolutional Neural Networks (CNNs) are being adapted to various computer-aided
diagnosis applications, including recognising thoracic diseases. To improve classification …
diagnosis applications, including recognising thoracic diseases. To improve classification …
Accurate thoracic disease classification via ensemble networks
AM Capuchino Antioquia - Proceedings of the 2022 5th International …, 2022 - dl.acm.org
Convolutional Neural Networks (CNNs) are being adapted to various computer-aided
diagnosis applications, including recognizing thoracic diseases. To improve classification …
diagnosis applications, including recognizing thoracic diseases. To improve classification …
[PDF][PDF] 基于条带池化与血管增强的眼底图像动静脉分类方法
肖志涛， 彭新文， 刘彦北， 耿磊， 张芳… - 中国生物医学工程学报, 2024 - cjbme.csbme.org
视网膜血管动静脉管径比是定量分析糖尿病, 高血压等慢性疾病的先决条件,
是许多心血管疾病的重要风险指标. 随着深度学习技术的发展, 许多基于卷积神经网络的方法 …
是许多心血管疾病的重要风险指标. 随着深度学习技术的发展, 许多基于卷积神经网络的方法 …
Separation of arteries and veins in retinal fundus images with a new CNN architecture
Retinal blood vessels are directly or indirectly associated with many diseases. The retinal
blood vessels consist of artery and vein vessels. With the automatic correct identification of …
blood vessels consist of artery and vein vessels. With the automatic correct identification of …