[HTML][HTML] Multimodal image encoding pre-training for diabetic retinopathy grading
Diabetic retinopathy is an increasingly prevalent eye disorder that can lead to severe vision
impairment. The severity grading of the disease using retinal images is key to provide an …
impairment. The severity grading of the disease using retinal images is key to provide an …
Synthesizing multi-frame high-resolution fluorescein angiography images from retinal fundus images using generative adversarial networks
Background Fundus fluorescein angiography (FA) can be used to diagnose fundus diseases
by observing dynamic fluorescein changes that reflect vascular circulation in the fundus. As …
by observing dynamic fluorescein changes that reflect vascular circulation in the fundus. As …
Joint keypoint detection and description network for color fundus image registration
Background Retinal imaging is widely used to diagnose many diseases, both systemic and
eye-specific. In these cases, image registration, which is the process of aligning images …
eye-specific. In these cases, image registration, which is the process of aligning images …
[PDF][PDF] Unified deep learning model for predicting fundus fluorescein angiography image from fundus structure image
The prediction of fundus uorescein angiography (FFA) images from fundus structural images
is a cutting-edge research topic in ophthalmological image processing. Prediction comprises …
is a cutting-edge research topic in ophthalmological image processing. Prediction comprises …
SemiCMT: Contrastive Cross-Modal Knowledge Transfer for IoT Sensing with Semi-Paired Multi-Modal Signals
This paper proposes a novel contrastive cross-modal knowledge transfer framework,
SemiCMT, for multi-modal IoT sensing applications. It effectively transfers the feature …
SemiCMT, for multi-modal IoT sensing applications. It effectively transfers the feature …
Generating fundus fluorescence angiography images from structure fundus images using generative adversarial networks
Fluorescein angiography can provide a map of retinal vascular structure and function, which
is commonly used in ophthalmology diagnosis, however, this imaging modality may pose …
is commonly used in ophthalmology diagnosis, however, this imaging modality may pose …
[HTML][HTML] Series-parallel generative adversarial network architecture for translating from fundus structure image to fluorescence angiography
Although fundus fluorescein angiography (FFA) is a very effective retinal imaging tool for
ophthalmic diagnosis, the requirement of intravenous injection of harmful fluorescein dye …
ophthalmic diagnosis, the requirement of intravenous injection of harmful fluorescein dye …
The quest for early detection of retinal disease: 3D CycleGAN-based translation of optical coherence tomography into confocal microscopy
Optical coherence tomography (OCT) and confocal microscopy are pivotal in retinal
imaging, offering distinct advantages and limitations. In vivo OCT offers rapid, noninvasive …
imaging, offering distinct advantages and limitations. In vivo OCT offers rapid, noninvasive …
Multiple-ResNet GAN: An enhanced high-resolution image generation method for translation from fundus structure image to fluorescein angiography
J Yuan, W Gao, Y Fang, H Zhang, N Song - Medical & Biological …, 2025 - Springer
Fluorescein angiography (FA) is a diagnostic method for observing the vascular circulation
in the eye. However, it poses a risk to patients. Therefore, generative adversarial networks …
in the eye. However, it poses a risk to patients. Therefore, generative adversarial networks …
SequenceGAN: Generating fundus fluorescence angiography sequences from structure fundus image
Fundus fluorescein angiography (FA) is an indispensable procedure that can investigate the
integrity of retina vasculature. Fluorescein angiograms progress through five phases: pre …
integrity of retina vasculature. Fluorescein angiograms progress through five phases: pre …