Retinal imaging as a source of biomarkers for diagnosis, characterization and prognosis of chronic illness or long-term conditions
The black void behind the pupil was optically impenetrable before the invention of the
ophthalmoscope by von Helmholtz over 150 years ago. Advances in retinal imaging and …
ophthalmoscope by von Helmholtz over 150 years ago. Advances in retinal imaging and …
A survey on computer aided diagnosis for ocular diseases
Abstract Background Computer Aided Diagnosis (CAD), which can automate the detection
process for ocular diseases, has attracted extensive attention from clinicians and …
process for ocular diseases, has attracted extensive attention from clinicians and …
Glaucoma detection based on deep convolutional neural network
Glaucoma is a chronic and irreversible eye disease, which leads to deterioration in vision
and quality of life. In this paper, we develop a deep learning (DL) architecture with …
and quality of life. In this paper, we develop a deep learning (DL) architecture with …
ORIGA-light: An online retinal fundus image database for glaucoma analysis and research
Retinal fundus image is an important modality to document the health of the retina and is
widely used to diagnose ocular diseases such as glaucoma, diabetic retinopathy and age …
widely used to diagnose ocular diseases such as glaucoma, diabetic retinopathy and age …
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 …
An adaptive threshold based image processing technique for improved glaucoma detection and classification
Glaucoma is an optic neuropathy which is one of the main causes of permanent blindness
worldwide. This paper presents an automatic image processing based method for detection …
worldwide. This paper presents an automatic image processing based method for detection …
Automatic detection of optic disc based on PCA and mathematical morphology
The algorithm proposed in this paper allows to automatically segment the optic disc from a
fundus image. The goal is to facilitate the early detection of certain pathologies and to fully …
fundus image. The goal is to facilitate the early detection of certain pathologies and to fully …
[HTML][HTML] Validating retinal fundus image analysis algorithms: issues and a proposal
This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms.
For reasons of space and consistency, we concentrate on the validation of algorithms …
For reasons of space and consistency, we concentrate on the validation of algorithms …
Integrated optic disc and cup segmentation with deep learning
Glaucoma is a widespread ocular disorder leading to irreversible loss of vision. Therefore,
there is a pressing need for cost-effective screening, such that preventive measures can be …
there is a pressing need for cost-effective screening, such that preventive measures can be …
Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in …
Background and objective Visual impairment affects a significant part of the population
worldwide. Glaucoma is one of these main causes, a chronic eye disease leading to …
worldwide. Glaucoma is one of these main causes, a chronic eye disease leading to …