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Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-8669-9_17
Abstract: The development of in vivo retinal fundus imaging in mice has opened a new research horizon, not only in ophthalmic research. The ability to monitor the dynamics of vascular and cellular changes in pathological conditions,…
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Keywords:
mouse models;
imaging mouse;
retinal fundus;
fundus imaging ... See more keywords
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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-03974-0
Abstract: The objective of this study is to propose an alternative, hybrid solution method for diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is based on using both image processing and deep…
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Keywords:
diabetic retinopathy;
fundus images;
retinopathy detection;
retinal fundus ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09217-6
Abstract: Identification of retinal diseases is a test for the ophthalmologists as the anomalies are just unmistakable at the beginning period. Early detection of these diseases can avoid lasting vision misfortune. Dealing with a lot of…
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Keywords:
fundus images;
retinal fundus;
deep convolutional;
convolutional neural ... See more keywords
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Published in 2017 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2016.09.002
Abstract: Abstract Variations in blood vasculature morphology of retinal fundus images is one of the dominant characteristic for the early detection and analysis of retinal abnormalities. Therefore the accurate interpretation of blood vasculature is useful for…
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Keywords:
fundus images;
retinal fundus;
vasculature;
vascular structures ... See more keywords
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Published in 2020 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2020.105320
Abstract: BACKGROUND Diabetic retinopathy (DR) is one of the leading causes of blindness globally. Earlier detection and timely treatment of DR are desirable to reduce the incidence and progression of vision loss. Currently, deep learning (DL)…
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Keywords:
meta analysis;
fundus;
systematic review;
retinal fundus ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2890544
Abstract: Glaucoma is a chronic progressive optic neuropathy that causes visual impairment or blindness if left untreated. It is crucial to diagnose it at an early stage in order to enable treatment. Fundus photography is a…
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Keywords:
fundus images;
retinal fundus;
fundus;
cup ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3157632
Abstract: Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the eye retina. Diabetic Retinopathy is regarded as the…
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Keywords:
retinal fundus;
classification;
detection;
deep learning ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257988
Abstract: Recently, the Internet of Things (IoT) and computer vision technologies find useful in different applications, especially in healthcare. IoT driven healthcare solutions provide intelligent solutions for enabling substantial reduction of expenses and improvisation of healthcare…
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Keywords:
retinal fundus;
retinopathy diagnosis;
diagnosis;
deep learning ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10113777
Abstract: Diabetes can induce diseases including diabetic retinopathy, cataracts, glaucoma, etc. The blindness caused by these diseases is irreversible. Early analysis of retinal fundus images, including optic disc and optic cup detection and retinal blood vessel…
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Keywords:
retinal fundus;
segmentation;
segmentation retinal;
fundus image ... See more keywords