Assessment of image quality on color fundus retinal images using the automatic retinal image analysis [PDF]
Scientific Reports, 2022 Image quality assessment is essential for retinopathy detection on color fundus retinal image. However, most studies focused on the classification of good and poor quality without considering the different types of poor quality.
Chuying Shi +5 more
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Retinal Imaging and Image Analysis [PDF]
IEEE Reviews in Biomedical Engineering, 2010 Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age ...
Abramoff, M.D. +2 more
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Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis [PDF]
Frontiers in Neurology, 2022 BackgroundStroke is the second leading cause of death worldwide, causing a considerable disease burden. Ischemic stroke is more frequent, but haemorrhagic stroke is responsible for more deaths.
Yimin Qu +14 more
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Corrigendum: Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis [PDF]
Frontiers in Neurology, 2023 Yimin Qu +14 more
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Digital fundus image quality assessment
Системный анализ и прикладная информатика, 2022 Diabetic retinopathy (DR) is a disease caused by complications of diabetes. It starts asymptomatically and can end in blindness. To detect it, doctors use special fundus cameras that allow them to register images of the retina in the visible range of the
V. V. Starovoitov +2 more
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The RETA Benchmark for Retinal Vascular Tree Analysis
Scientific Data, 2022 Measurement(s) Retina blood vessel • Abnormal Retinal vascular morphology • Retinal vascular tree Technology Type(s) Image Segmentation • Digital Image Analysis • Supervised Machine Learning • Computer Application • Computer-Aided Diagnosis • Image ...
Xingzheng Lyu, Li Cheng, Sanyuan Zhang
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On Machine Learning in Clinical Interpretation of Retinal Diseases Using OCT Images
Bioengineering, 2023 Optical coherence tomography (OCT) is a noninvasive imaging technique that provides high-resolution cross-sectional retina images, enabling ophthalmologists to gather crucial information for diagnosing various retinal diseases.
Prakash Kumar Karn, Waleed H. Abdulla
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Morphological Exudate Detection in Retinal Images using PCA-based Optic Disc Removal [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Diabetic retinopathy lesion detection such as exudate in fundus image of retina can lead to early diagnosis of the disease. Retinal image includes dark areas such as main blood vessels and retinal tissue and also bright areas such as optic disk, optical ...
J. Darvish, M. Ezoji
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Characterisation of human non-proliferativediabetic retinopathy using the fractal analysis [PDF]
International Journal of Ophthalmology, 2015 AIM:To investigate and quantify changes in the branching patterns of the retina vascular network in diabetes using the fractal analysis method.METHODS:This was a clinic-based prospective study of 172 participants managed at the Ophthalmological Clinic of
Carmen Alina Lupaşcu
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Multispectral retinal image analysis: a novel non-invasive tool for retinal imaging [PDF]
Eye, 2011 To develop a non-invasive method for quantification of blood and pigment distributions across the posterior pole of the fundus from multispectral images using a computer-generated reflectance model of the fundus.A computer model was developed to simulate light interaction with the fundus at different wavelengths. The distribution of macular pigment (MP)
A, Calcagni +4 more
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