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1
Analysis of Retinal Nerve Fiber Layer for Classification of Glaucoma
Published 2021“…Glaucoma is the second leading causes of blindness beside of cataracts. …”
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2
Analysis of Retinal Nerve Fiber Layer for Classification of Glaucoma
Published 2021“…Glaucoma is the second leading causes of blindness beside of cataracts. …”
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3
Analysing visual field and diagnosing glaucoma progression using a hybrid of per location differences and artificial neural network ensembles
Published 2004“…Visual function test results for glaucoma diagnosis is perceived to be subjective and problematic.In this paper, we aim to address the issues and problems associated with these current approaches.We present (a) a system architecture for analyzing visual field and diagnosing glaucoma progression; (b) a per location differences approach for analyzing visual field to obtain measurements of glaucoma progression; and (c) a neural network ensemble approach where several artifial neural network are jointly used to diagnose glaucoma progression.It is hoped that it would be possible to diagnose glaucoma progression with just one reading of a patient’s visual field.…”
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4
Expert system for early diagnosis of eye diseases infecting the Malaysian population
Published 2001“…The types of eye diseases that can be detected with this system are allergic or infectious conjunctivitis, secondary and senile cataract, open angle glaucoma and acute glaucoma, keratitis and dry eyes syndrome. …”
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5
No Reference Image Quality Assessment of Retinal Image for Diabetic Retinopathy Detection based on Feature Extraction
Published 2022“…Retinal imaging is widely used to detect diseases like diabetic retinopathy, glaucoma and other diseases. One important factor affecting the detection outcome is the quality of the retinal image. …”
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