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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 7, July 2016
A Survey on Detection of Diabetic Retinopathy and Glaucoma from Fundus Images
Pavithra [35] | Dr. N. Shanthi
Abstract: Medical imaging is the process of visual representations of the interior of a body for clinical analysis and medical intervention. Detection of diabetic retinopathy and glaucoma from fundus image reduce the need of more ophthalmologists. This work involves the review of several detection and classification techniques. These mechanisms are compared and the results are examined using the parameters such as True Negative Rate (TNR), False Positive Rate (FPA), False Negative Rate (FNR) and True Positive Rate (TPR), Peak signal to Noise Ratio (PSNR), Mean Square Error Rate
Keywords: Fundus image, Contrast limited histogram equalization, TNR, FPA, FNR, TPR PSNR, MSER
Edition: Volume 5 Issue 7, July 2016,
Pages: 998 - 1001
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Student Project, Computer Science & Engineering, India, Volume 12 Issue 10, October 2023
Pages: 417 - 422A Comprehensive Examination of Glaucoma Detection Methods Utilizing Fundus Images of the Retina: A Review
Stelin Bercia S | Vijayalakshmi P [3]
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Review Papers, Computer Science & Engineering, India, Volume 13 Issue 8, August 2024
Pages: 1049 - 1053Deep Learning - Based Diabetic Retinopathy Detection: A Survey on Deep Learning Architectures
Dr. Srinidhi G. A.