M2U-net: Effective and efficient retinal vessel segmentation for real-world applications [PDF]
, 2020 In this paper, we present a novel neural network architecture for retinal vessel segmentation that improves over the state of the art on two benchmark datasets, is the first to run in real time on high resolution images, and its small memory and ...
Jalali, S., Laibacher, T., Weyde, T.
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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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Measurement of retinal vessel widths from fundus images based on 2-D modeling [PDF]
, 2002 Changes in retinal vessel diameter are an important sign of diseases such as hypertension, arteriosclerosis and diabetes mellitus. Obtaining precise measurements of vascular widths is a critical and demanding process in automated retinal image analysis ...
Basu, A. +5 more
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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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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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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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Trainable COSFIRE filters for vessel delineation with application to retinal images [PDF]
, 2015 Retinal imaging provides a non-invasive opportunity for the diagnosis of several medical pathologies. The automatic segmentation of the vessel tree is an important pre-processing step which facilitates subsequent automatic processes that contribute to ...
Azzopardi, George, Petkov, Nicolai
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In vivo volumetric imaging of human retinal circulation with phase-variance optical coherence tomography [PDF]
, 2011 We present in vivo volumetric images of human retinal micro-circulation using Fourier-domain optical coherence tomography (Fd-OCT) with the phase-variance based motion contrast method.
An +30 more
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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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Evaluation of Nonperfused Retinal Vessels in Ischemic Retinopathy [PDF]
, 2016 Purpose: Retinal ischemia has been traditionally assessed by fluorescein angiography, visualizing perfused vessels. However, this method does not provide any information about nonperfused vessels, and although it is often assumed that vessels in ischemic
Chang, A. A. +10 more
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