Improved image processing techniques for optic disc segmentation in retinal fundus images

RG Ramani, JJ Shanthamalar - Biomedical Signal Processing and Control, 2020 - Elsevier
Glaucoma is one of the leading causes of blindness in the world and is projected to affect
over 79.6 million people globally. Recently, automated computer aided systems are used in …

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 …

Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma

MV dos Santos Ferreira, AO de Carvalho Filho… - Expert Systems with …, 2018 - Elsevier
Glaucoma is an asymptomatic disease caused by damage to the optic nerve due to elevated
intraocular pressure. With early diagnosis, the chances of controlling progression are …

[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 …

A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images

J Escorcia-Gutierrez, J Torrents-Barrena… - Expert Systems with …, 2021 - Elsevier
Retinal disorders are a severe health threat for older adults because they may lead to vision
loss and blindness. Diabetic patients are particularly prone to suffer from Diabetic …

Automatic early stage glaucoma detection using cascade correlation neural network

T Devasia, KP Jacob, T Thomas - … Conference on SCI 2018, Volume 1, 2019 - Springer
The automatic detection of glaucoma with the fundus eye image analysis using novel
techniques is presented in this paper. The classification of glaucoma is done using cascade …

Optic disc detection from fundus photography via best-buddies similarity

K Hou, N Liu, W Jia, Y He, J Lian, Y Zheng - Applied Sciences, 2018 - mdpi.com
Robust and effective optic disc (OD) detection is a necessary processing step in the
research work of the automatic analysis of fundus images. In this paper, we propose a novel …

[PDF][PDF] Detection of neovascularization in proliferative diabetic retinopathy fundus images.

S Gandhimathi, K Pillai - Int. Arab J. Inf. Technol., 2018 - ccis2k.org
Neovascularization is a serious visual consequence disease arising from Proliferative
Diabetic Retinopathy (PDR). The condition causes progressive retinal damage in persons …

A robust algorithm for optic disc segmentation and fovea detection in retinal fundus images

C Rust, S Häger, N Traulsen… - Current Directions in …, 2017 - degruyter.com
Accurate optic disc (OD) segmentation and fovea detection in retinal fundus images are
crucial for diagnosis in ophthalmology. We propose a robust and broadly applicable …

[PDF][PDF] Fuzzy clustering based glaucoma detection using the CDR

T Devasia, P Jacob, T Thomas - Signal & Image Processing: An …, 2015 - academia.edu
Glaucoma is a serious eye disease, overtime it will result in gradual blindness. Early
detection of the disease will help prevent against developing a more serious condition. A …