Attention Guided U-Net With Atrous Convolution for Accurate Retinal Vessels Segmentation
The accuracy of retinal vessels segmentation is of great significance for the diagnosis of cardiovascular diseases such as diabetes and hypertension. Especially, the segmentation accuracy of the end of vessels will be affected by the area outside the ...
Yan Lv +3 more
doaj +1 more source
HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation.
The cardinal symptoms of some ophthalmic diseases observed through exceptional retinal blood vessels, such as retinal vein occlusion, diabetic retinopathy, etc.
Xiaolong Hu +3 more
doaj +1 more source
Multimodal In Vivo Imaging of Retinal and Choroidal Vascular Occlusion
Photoacoustic microscopy (PAM) is an emerging retinal imaging technique that can provide high spatial resolution and high contrast of chorioretinal vessels.
Van Phuc Nguyen +5 more
doaj +1 more source
In Vivo Human Choroidal Vascular Pattern Visualization Using High-Speed Swept-Source Optical Coherence Tomography at 1060 nm [PDF]
Purpose. To investigate the retinal and choroidal vascular pattern, structure, and thickness using high-speed, high axial resolution, swept-source optical coherence tomography (SS-OCT) at 1060 nm, demonstrating enhanced penetration through all choroidal ...
Fraser, Scott E. +2 more
core +1 more source
The presence of high blood sugar levels damages blood vessels and causes an eye condition called diabetic retinopathy. The ophthalmologist can detect this disease by looking at the variations in retinal blood vasculature.
Sabri Deari, Ilkay Oksuz, Sezer Ulukaya
doaj +1 more source
Novel rodent models for macular research [PDF]
Background: Many disabling human retinal disorders involve the central retina, particularly the macula. However, the commonly used rodent models in research, mouse and rat, do not possess a macula.
Huber, Gesine +11 more
core +1 more source
Successful resolution of coats disease by photodynamic therapy: a case report
Background Coats disease is a retinal disease characterized by exudative retinal detachment due to abnormal retinal blood vessels. Coats disease is generally treated using laser photocoagulation and cryotherapy to ablate the abnormal retinal blood ...
Michie Namba +10 more
doaj +1 more source
Scale-aware dense residual retinal vessel segmentation network with multi-output weighted loss
Background Retinal vessel segmentation provides an important basis for determining the geometric characteristics of retinal vessels and the diagnosis of related diseases. The retinal vessels are mainly composed of coarse vessels and fine vessels, and the
Jiwei Wu, Shibin Xuan
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Systematic Development of AI-Enabled Diagnostic Systems for Glaucoma and Diabetic Retinopathy
With the rapid advancements in artificial intelligence, particularly in machine learning and deep learning, automated disease diagnosis is becoming increasingly feasible.
Khursheed Aurangzeb +3 more
doaj +1 more source
Automated Fovea Detection Based on Unsupervised Retinal Vessel Segmentation Method [PDF]
The Computer Assisted Diagnosis systems could save workloads and give objective diagnostic to ophthalmologists. At first level of automated screening of systems feature extraction is the fundamental step. One of these retinal features is the fovea.
Kalantari, Faraz +3 more
core +1 more source

