[HTML][HTML] Detection of glaucoma using retinal fundus images: A comprehensive review
Content-based image analysis and computer vision techniques are used in various health-
care systems to detect the diseases. The abnormalities in a human eye are detected through …
care systems to detect the diseases. The abnormalities in a human eye are detected through …
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Background With the advancement of powerful image processing and machine learning
techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of …
techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of …
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: analysis with doctor evaluation
Glaucoma causes blindness in long-time untreated cases. So, its early diagnosis is very
important. Moving from that, there have been lots of Deep Learning oriented studies to …
important. Moving from that, there have been lots of Deep Learning oriented studies to …
Automated detection of glaucoma using structural and non structural features
Glaucoma is a chronic disease often called “silent thief of sight” as it has no symptoms and if
not detected at an early stage it may cause permanent blindness. Glaucoma progression …
not detected at an early stage it may cause permanent blindness. Glaucoma progression …
Retinal fundus image for glaucoma detection: A review and study
SS Kanse, DM Yadav - Journal of Intelligent Systems, 2019 - degruyter.com
Glaucoma is one of the severe visual diseases that lead to damage the eyes irreversibly by
affecting the optic nerve fibers and astrocytes. Consequently, the early detection of …
affecting the optic nerve fibers and astrocytes. Consequently, the early detection of …
A statistical robust glaucoma detection framework combining retinex, CNN, and DOE using fundus images
WT Song, C Lai, YZ Su - IEEE Access, 2021 - ieeexplore.ieee.org
Motivated by the challenge that manual glaucoma detection is costly and time consuming,
and that existing automated glaucoma detection processes lack either good performance or …
and that existing automated glaucoma detection processes lack either good performance or …
Improved automated detection of glaucoma from fundus image using hybrid structural and textural features
Glaucoma is a group of eye disorders that damage the optic nerve. Considering a single eye
condition for the diagnosis of glaucoma has failed to detect all glaucoma cases accurately. A …
condition for the diagnosis of glaucoma has failed to detect all glaucoma cases accurately. A …
The use of U-Net lite and Extreme Gradient Boost (XGB) for glaucoma detection
OJ Afolabi, GP Mabuza-Hocquet… - IEEE …, 2021 - ieeexplore.ieee.org
Glaucoma has been credited to be the foremost cause of preventable loss of sight in the
world second only to cataract. Its effect on the eye is usually irreversible and can only be …
world second only to cataract. Its effect on the eye is usually irreversible and can only be …
A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning‐nature driven computing
Glaucoma is a leading cause of permanent vision loss. Early detection and treatment of this
infection is critical for recovery and slowing the progression of vision loss. An efficient novel …
infection is critical for recovery and slowing the progression of vision loss. An efficient novel …
Accurate and efficient segmentation of optic disc and optic cup in retinal images integrating multi-view information
Y Gao, X Yu, C Wu, W Zhou, X Wang, H Chu - IEEE access, 2019 - ieeexplore.ieee.org
Glaucoma is an eye disease which is one of the most common causes of blindness.
Accurate optic disc (OD) and optic cup (OC) segmentation play a critical role for detecting …
Accurate optic disc (OD) and optic cup (OC) segmentation play a critical role for detecting …