Attention Guided U-Net With Atrous Convolution for Accurate Retinal Vessels Segmentation
IEEE Access, 2020 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
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Multimodal In Vivo Imaging of Retinal and Choroidal Vascular Occlusion
Photonics, 2022 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
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Scale-aware dense residual retinal vessel segmentation network with multi-output weighted loss
BMC Medical Imaging, 2023 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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HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation.
PLoS ONE, 2021 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
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IEEE Access, 2023 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
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Successful resolution of coats disease by photodynamic therapy: a case report
BMC Ophthalmology, 2018 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
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Systematic Development of AI-Enabled Diagnostic Systems for Glaucoma and Diabetic Retinopathy
IEEE Access, 2023 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
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Mechanisms underlying microglial colonization of developing neural retina in zebrafish
eLife, 2021 Microglia are brain-resident macrophages that function as the first line of defense in brain. Embryonic microglial precursors originate in peripheral mesoderm and migrate into the brain during development.
Nishtha Ranawat, Ichiro Masai
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Micro-Vessel Image Segmentation Based on the AD-UNet Model
IEEE Access, 2019 Retinal vessel segmentation plays a vital role in computer-aided diagnosis and treatment of retinal diseases. Considering the low contrast between retinal vessels and the background image, complex structural information as well as blurred boundaries ...
Zhongming Luo +5 more
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Retinal Health Investigation by Segmentation of Major and Minor Blood Vessels in Fundus Images for Diabetes Patients [PDF]
Journal of Clinical and Diagnostic Research, 2019 Introduction: The Major and Minor blood vessel and the optic disc are the important factors for finding the presence of retinal disease like diabetic retinopathy.
S Poonguzhali, Rekha Chakravarthi
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