[HTML][HTML] A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks

AE Ilesanmi, T Ilesanmi, AG Gbotoso - Healthcare Analytics, 2023 - Elsevier
Retinal fundus images play a crucial role in the early detection of eye problems, aiding in
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …

An overview of deep-learning-based methods for cardiovascular risk assessment with retinal images

RG Barriada, D Masip - Diagnostics, 2022 - mdpi.com
Cardiovascular diseases (CVDs) are one of the most prevalent causes of premature death.
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …

Dense fully convolutional segmentation of the optic disc and cup in colour fundus for glaucoma diagnosis

B Al-Bander, BM Williams, W Al-Nuaimy, MA Al-Taee… - Symmetry, 2018 - mdpi.com
Glaucoma is a group of eye diseases which can cause vision loss by damaging the optic
nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of …

DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image

MK Hasan, MA Alam, MTE Elahi, S Roy… - Artificial Intelligence in …, 2021 - Elsevier
Background and objective In modern ophthalmology, automated Computer-aided Screening
Tools (CSTs) are crucial non-intrusive diagnosis methods, where an accurate segmentation …

Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network

L Wang, J Gu, Y Chen, Y Liang, W Zhang, J Pu… - Pattern recognition, 2021 - Elsevier
Accurate segmentation of the optic disc (OD) regions from colour fundus images is a critical
procedure for computer-aided diagnosis of glaucoma. We present a novel deep learning …

Automated detection of Glaucoma using deep learning convolution network (G-net)

M Juneja, S Singh, N Agarwal, S Bali, S Gupta… - Multimedia Tools and …, 2020 - Springer
Glaucoma is an ocular disease that is the leading cause of irreversible blindness due to an
increased Intraocular pressure resulting in damage to the optic nerve of eye. A common …

C2FTFNet: Coarse-to-fine transformer network for joint optic disc and cup segmentation

Y Yi, Y Jiang, B Zhou, N Zhang, J Dai, X Huang… - Computers in Biology …, 2023 - Elsevier
Glaucoma is a leading cause of worldwide blindness and visual impairment, making early
screening and diagnosis is crucial to prevent vision loss. Cup-to-Disk Ratio (CDR) …

A coarse-to-fine deep learning framework for optic disc segmentation in fundus images

L Wang, H Liu, Y Lu, H Chen, J Zhang, J Pu - Biomedical signal processing …, 2019 - Elsevier
Accurate segmentation of the optic disc (OD) depicted on color fundus images may aid in the
early detection and quantitative diagnosis of retinal diseases, such as glaucoma and optic …

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 …

Optic disk and cup segmentation through fuzzy broad learning system for glaucoma screening

R Ali, B Sheng, P Li, Y Chen, H Li… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Glaucoma is an ocular disease that causes permanent blindness if not cured at an early
stage. Cup-to-disk ratio (CDR), obtained by dividing the height of optic cup (OC) with the …