AIMC Topic: Fundus Oculi
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Optimized convolution neural network based multiple eye disease detection.
Computers in biology and medicine
May 18, 2022
World health organization (WHO) reports around 2.2 billion people in the world as visually challenged which is mostly due to the age-related eye diseases such as age-related macular degeneration (AMD), cataract, diabetic retinopathy (DR) and glaucoma...
A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique.
Medical & biological engineering & computing
May 11, 2022
Diabetic retinopathy (DR) is a serious disease that may cause vision loss unawares without any alarm. Therefore, it is essential to scan and audit the DR progress continuously. In this respect, deep learning techniques achieved great success in medic...
A Detailed Systematic Review on Retinal Image Segmentation Methods.
Journal of digital imaging
May 4, 2022
The separation of blood vessels in the retina is a major aspect in detecting ailment and is carried out by segregating the retinal blood vessels from the fundus images. Moreover, it helps to provide earlier therapy for deadly diseases and prevent fur...
LightEyes: A Lightweight Fundus Segmentation Network for Mobile Edge Computing.
Sensors (Basel, Switzerland)
Apr 19, 2022
Fundus is the only structure that can be observed without trauma to the human body. By analyzing color fundus images, the diagnosis basis for various diseases can be obtained. Recently, fundus image segmentation has witnessed vast progress with the d...
Joint optic disk and cup segmentation for glaucoma screening using a region-based deep learning network.
Eye (London, England)
Apr 18, 2022
OBJECTIVES: To develop and validate an end-to-end region-based deep convolutional neural network (R-DCNN) to jointly segment the optic disc (OD) and optic cup (OC) in retinal fundus images for precise cup-to-disc ratio (CDR) measurement and glaucoma ...
State-of-the-art retinal vessel segmentation with minimalistic models.
Scientific reports
Apr 13, 2022
The segmentation of retinal vasculature from eye fundus images is a fundamental task in retinal image analysis. Over recent years, increasingly complex approaches based on sophisticated Convolutional Neural Network architectures have been pushing per...
Assessment of the predictive potential of cognitive scores from retinal images and retinal fundus metadata via deep learning using the CLSA database.
Scientific reports
Apr 6, 2022
Accumulation of beta-amyloid in the brain and cognitive decline are considered hallmarks of Alzheimer's disease. Knowing from previous studies that these two factors can manifest in the retina, the aim was to investigate whether a deep learning metho...
Detection of signs of disease in external photographs of the eyes via deep learning.
Nature biomedical engineering
Mar 29, 2022
Retinal fundus photographs can be used to detect a range of retinal conditions. Here we show that deep-learning models trained instead on external photographs of the eyes can be used to detect diabetic retinopathy (DR), diabetic macular oedema and po...
BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images.
Computer methods and programs in biomedicine
Mar 11, 2022
BACKGROUND AND OBJECTIVE: Early fundus screening and timely treatment of ophthalmology diseases can effectively prevent blindness. Previous studies just focus on fundus images of single eye without utilizing the useful relevant information of the lef...
DCNN-based prediction model for detection of age-related macular degeneration from color fundus images.
Medical & biological engineering & computing
Mar 10, 2022
Age-related macular degeneration (AMD) is a degenerative disorder in the macular region of the eye. AMD is the leading cause of irreversible vision loss in the elderly population. With the increase in aged population in the world, there is an urgent ...
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