A Weakly-Supervised Framework for Interpretable Diabetic Retinopathy Detection on Retinal Images
IEEE Access, 2018 Diabetic retinopathy (DR) detection is a critical retinal image analysis task in the context of early blindness prevention. Unfortunately, in order to train a model to accurately detect DR based on the presence of different retinal lesions, typically a ...
Pedro Costa +3 more
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Creating effective focus cues in multi-plane 3D displays. [PDF]
, 2011 Focus cues are incorrect in conventional stereoscopic displays. This causes a dissociation of vergence and accommodation, which leads to visual fatigue and perceptual distortions.
Akeley, Kurt +2 more
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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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Research Progress of Deep Learning in Retinal Vessel Segmentation
Jisuanji kexue yu tansuo, 2021 The retinal features obtained by retinal blood vessel segmentation can be used to assist the diagnosis of diabetic retinopathy and other ocular diseases.
LI Lanlan1, ZHANG Xiaohui1, NIU Decao3, HU Yihuang1, ZHAO Tiesong1, WANG Dabiao2+
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Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection
, 2020 Visual artefacts of early diabetic retinopathy in retinal fundus images are usually small in size, inconspicuous, and scattered all over retina. Detecting diabetic retinopathy requires physicians to look at the whole image and fixate on some specific ...
Adrià Recasens +13 more
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Quantitative Analysis of Immunofluorescent Retinal Images [PDF]
3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006., 2006 We present a novel method to quantitatively analyze confocal microscope images of retinas. We automatically detect nuclei within the outer nuclear layer (ONL) in a retinal image. Based on nuclei detection results, we also automatically measure the thickness of the ONL and the local cell density within the ONL.
null Jiyun Byun +3 more
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Prevalence of age-related macular degeneration in Nakuru, Kenya: a cross-sectional population-based study. [PDF]
, 2013 BACKGROUND: Diseases of the posterior segment of the eye, including age-related macular degeneration (AMD), have recently been recognised as the leading or second leading cause of blindness in several African countries.
Bastawrous, Andrew +5 more
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Focused and defocused retinal images with Bessel and axicon pupil functions. [PDF]
, 2020 Retinal image light distributions in a standard optical model of a diffraction-limited eye with round pupils are presented for several patterns of amplitude and phase modulation of the light admitted into the eye.
Westheimer, Gerald
core
Volumetric microvascular imaging of human retina using optical coherence tomography with a novel motion contrast technique [PDF]
, 2009 Phase variance-based motion contrast imaging is demonstrated using a spectral domain optical coherence tomography system for the in vivo human retina. This contrast technique spatially identifies locations of motion within the retina primarily associated
Fingler, Jeff +4 more
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Nonrigid Multimodal Registration Based on Fuzzy Inference System for Retinal Image Registration
Journal of Medical Signals and SensorsBackground: Retinal imaging employs various modalities, each providing distinct perspectives on ocular structures. However, the integration of information from these modalities, which often have differing resolutions, requires effective image ...
Monire Sheikh Hosseini, Hossein Rabbani
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