The current state of artificial intelligence in ophthalmology
R Kapoor, SP Walters, LA Al-Aswad - Survey of ophthalmology, 2019 - Elsevier
Artificial intelligence (AI) is a branch of computer science that deals with the development of
algorithms that seek to simulate human intelligence. We provide an overview of the basic …
algorithms that seek to simulate human intelligence. We provide an overview of the basic …
Computer-aided diagnosis of glaucoma using fundus images: A review
Background and objectives Glaucoma is an eye condition which leads to permanent
blindness when the disease progresses to an advanced stage. It occurs due to inappropriate …
blindness when the disease progresses to an advanced stage. It occurs due to inappropriate …
[HTML][HTML] Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database
Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease
detection by using computer-aided diagnosis from fundus image has emerged as a new …
detection by using computer-aided diagnosis from fundus image has emerged as a new …
Age-related macular degeneration detection using deep convolutional neural network
JH Tan, SV Bhandary, S Sivaprasad… - Future Generation …, 2018 - Elsevier
Abstract Age-related Macular Degeneration (AMD) is an eye condition that affects the
elderly. Further, the prevalence of AMD is rising because of the aging population in the …
elderly. Further, the prevalence of AMD is rising because of the aging population in the …
Iterative variational mode decomposition based automated detection of glaucoma using fundus images
Glaucoma is one of the leading causes of permanent vision loss. It is an ocular disorder
caused by increased fluid pressure within the eye. The clinical methods available for the …
caused by increased fluid pressure within the eye. The clinical methods available for the …
Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features
Diabetic retinopathy (DR) is leading cause of blindness among diabetic patients.
Recognition of severity level is required by ophthalmologists to early detect and diagnose …
Recognition of severity level is required by ophthalmologists to early detect and diagnose …
Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study
Neurological disorders are abnormalities related to the human nervous system, and
comprise electrical, biochemical, or structural changes in the spinal cord, brain, or central …
comprise electrical, biochemical, or structural changes in the spinal cord, brain, or central …
Automated classification of glaucoma stages using flexible analytic wavelet transform from retinal fundus images
D Parashar, DK Agrawal - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Glaucoma is one of the leading causes of irreversible vision loss, it progresses gradually
without easily noticeable symptoms. The detection of glaucoma in the early stage is crucial …
without easily noticeable symptoms. The detection of glaucoma in the early stage is crucial …
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images
Fatty liver disease (FLD) is reversible disease and can be treated, if it is identified at an early
stage. However, if diagnosed at the later stage, it can progress to an advanced liver disease …
stage. However, if diagnosed at the later stage, it can progress to an advanced liver disease …
Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Vision is paramount to humans to lead an active personal and professional life. The
prevalence of ocular diseases is rising, and diseases such as glaucoma, Diabetic …
prevalence of ocular diseases is rising, and diseases such as glaucoma, Diabetic …