Results 41 to 50 of about 558,722 (284)
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
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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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
Micro-Vessel Image Segmentation Based on the AD-UNet Model
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
doaj +1 more source
Separable Paravector Orientation Tensors for Enhancing Retinal Vessels
Robust detection of retinal vessels remains an unsolved research problem, particularly in handling the intrinsic real-world challenges of highly imbalanced contrast between thick vessels and thin ones, inhomogeneous background regions, uneven ...
Challoob, M, Gao, Y, Nikzad, M, Busch, A
core +1 more source
Mechanisms underlying microglial colonization of developing neural retina in zebrafish
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
doaj +1 more source
Retinal Health Investigation by Segmentation of Major and Minor Blood Vessels in Fundus Images for Diabetes Patients [PDF]
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
doaj +1 more source
Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification [PDF]
—We present a method for automated segmentation of the vasculature in retinal images. The method produces segmentations by classifying each image pixel as vessel or nonvessel, based on the pixel’s feature vector. Feature vectors are composed of the pixel’
Michael J. Cree +10 more
core +1 more source
Background Obstructive sleep apnea (OSA) and chronic obstructive pulmonary disease (COPD) are linked with microvascular changes. Retinal microvasculature can be examined in a direct noninvasive way.
Rabab A El Wahsh +2 more
doaj +1 more source
Retinal Vessel Segmentation Algorithm Based on Residual Convolution Neural Network
Retinal vessels are the only deep micro vessels that can be observed in human body, the accurate identification of which has great significance on the diagnosis of hypertension, diabetes and other diseases.
Shuang Xu +8 more
doaj +1 more source

