A literature review: various learning techniques and its applications for eye disease identification using retinal images

V Rajyaguru, C Vithalani, R Thanki - International Journal of Information …, 2022 - Springer
In the recent world, artificial intelligence (AI) based learning models are widely used in
various applications for medical image analysis. These models based on machine learning …

[PDF][PDF] Techniques of glaucoma detection from color fundus images: A review

MK Nath, S Dandapat - IJ Image, Graphics and Signal Processing, 2012 - academia.edu
Glaucoma is a generic name for a group of diseases which causes progressive optic
neuropathy and vision loss due to degeneration of the optic nerves. Optic nerve cells act as …

An adaptive threshold based algorithm for optic disc and cup segmentation in fundus images

A Issac, M Parthasarthi, MK Dutta - 2015 2nd international …, 2015 - ieeexplore.ieee.org
This paper presents an image processing technique for segmentation of optic disc and cup
based on adaptive thresholding using features from the image. The proposed algorithm …

CDR based glaucoma detection using fundus images: a review

MW Khan, M Sharif, M Yasmin… - International Journal of …, 2017 - inderscienceonline.com
Glaucoma is an eye disease that occurs when circulation of an eye fluid does not remain
normal which in turn increases the intraocular pressure (IOP) in aqueous humour of the …

Fully automatized parallel segmentation of the optic disc in retinal fundus images

D Díaz-Pernil, I Fondon, F Peña-Cantillana… - Pattern Recognition …, 2016 - Elsevier
This paper presents a fully automatic parallel software for the localization of the optic disc
(OD) in retinal fundus color images. A new method has been implemented with the Graphics …

[HTML][HTML] Glaucoma classification based on intra-class and extra-class discriminative correlation and consensus ensemble classifier

B Kishore, NP Ananthamoorthy - Genomics, 2020 - Elsevier
Automatic classification of glaucoma from fundus images is a vital diagnostic tool for
Computer-Aided Diagnosis System (CAD). In this work, a novel fused feature extraction …

Differential entropy in wavelet sub‐band for assessment of glaucoma

MK Nath, S Dandapat - International Journal of Imaging …, 2012 - Wiley Online Library
Glaucoma is an eye disease that causes progressive optic neuropathy and vision loss due
to degeneration of the optic nerves. Cup to disc ratio (CDR) is the standard measure for …

Automatic CDR estimation for early glaucoma diagnosis

MA Fernandez-Granero, A Sarmiento… - Journal of healthcare …, 2017 - Wiley Online Library
Glaucoma is a degenerative disease that constitutes the second cause of blindness in
developed countries. Although it cannot be cured, its progression can be prevented through …

Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study

H Naz, NJ Ahuja, R Nijhawan - Artificial Intelligence Review, 2024 - Springer
The severe progression of Diabetes Mellitus (DM) stands out as one of the most significant
concerns for healthcare officials worldwide. Diabetic Retinopathy (DR) is a common …

Performance assessment of the deep learning technologies in grading glaucoma severity

Y Zhen, L Wang, H Liu, J Zhang, J Pu - arXiv preprint arXiv:1810.13376, 2018 - arxiv.org
Objective: To validate and compare the performance of eight available deep learning
architectures in grading the severity of glaucoma based on color fundus images. Materials …