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Published in 2020 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22413
Abstract: Glaucoma is a multifactorial ocular disease. Ophthalmologists mostly use fundus or optical coherence tomography (OCT) for diagnosis of glaucoma. In this study, a hybrid computer‐aided‐diagnosis (H‐CAD) system has been proposed that integrates both fundus and…
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Keywords:
fundus oct;
automated detection;
cad system;
glaucoma ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08249-x
Abstract: This paper focus on the investigation of the potential in retinal image analysis for the detection of Glaucoma. The computer-based analysis of the parameter involves the use of image processing algorithms for pre-processing, localization and…
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Keywords:
hybrid feature;
detection;
image;
feature ... See more keywords
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Published in 2020 at "American journal of ophthalmology"
DOI: 10.1016/j.ajo.2020.09.026
Abstract: PURPOSE Macular imaging with optical coherence tomography (OCT) measures the most critical retinal ganglion cells (RGC) in the human eye. The goal of this perspective is to review the challenges to detection of glaucoma progression…
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Keywords:
optical coherence;
detection;
macular oct;
detection glaucoma ... See more keywords
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Published in 2020 at "European Journal of Ophthalmology"
DOI: 10.1177/1120672120977346
Abstract: Glaucoma is the leading cause of irreversible blindness and disability worldwide. Nevertheless, the majority of patients do not know they have the disease and detection of glaucoma progression using standard technology remains a challenge in…
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Keywords:
glaucoma;
systematic review;
detection glaucoma;
deep learning ... See more keywords