Automated detection of retinal structures, such as retinal vessels (RV),...
While there have been increased researches using deep learning technique...
Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolu...
Fundus photography is a routine examination in clinics to diagnose and
m...
Multiple instance learning (MIL) has been increasingly used in the
class...
Cataracts are the leading cause of vision loss worldwide. Restoration
al...
In this paper, we propose a novel multi-level aggregation network to reg...
This paper proposes an adaptive auxiliary task learning based approach f...
Multi-label image classification is a fundamental but challenging task i...
Segmentation is an essential operation of image processing. The convolut...
Semi-supervised approaches for crowd counting attract attention, as the ...
Though deep learning has shown successful performance in classifying the...
Chest X-rays are the most commonly available and affordable radiological...
Optical Coherence Tomography Angiography (OCTA) has been increasingly us...
Image segmentation is a fundamental topic in image processing and has be...
Automated detection of curvilinear structures, e.g., blood vessels or ne...
Optical Coherence Tomography Angiography (OCT-A) is a non-invasive imagi...
Anterior chamber angle (ACA) classification is a key step in the diagnos...
Precise characterization and analysis of iris shape from Anterior Segmen...
With the development of convolutional neural network, deep learning has ...
The detection of retinal vessel is of great importance in the diagnosis ...
The optic disc segmentation is an important step for retinal image-based...
Generative Adversarial Networks (GANs) have the capability of synthesizi...
Deep neural networks (DNNs) have become popular for medical image analys...
Medical image segmentation is an important step in medical image analysi...