[HTML][HTML] Deep learning for diabetic retinopathy detection and classification based on fundus images: A review
Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …
cause of blindness globally. Early detection and treatment are necessary in order to delay or …
Current state and future prospects of artificial intelligence in ophthalmology: a review
DT Hogarty, DA Mackey… - Clinical & experimental …, 2019 - Wiley Online Library
Artificial intelligence (AI) has emerged as a major frontier in computer science research.
Although AI has broad application across many medical fields, it will have particular utility in …
Although AI has broad application across many medical fields, it will have particular utility in …
Diabetic retinopathy detection and classification using capsule networks
Nowadays, diabetic retinopathy is a prominent reason for blindness among the people who
suffer from diabetes. Early and timely detection of this problem is critical for a good …
suffer from diabetes. Early and timely detection of this problem is critical for a good …
Automated diabetic retinopathy detection using horizontal and vertical patch division-based pre-trained DenseNET with digital fundus images
Diabetic retinopathy (DR) is a common complication of diabetes that can lead to progressive
vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt …
vision loss. Regular surveillance with fundal photography, early diagnosis, and prompt …
Diabetic retinopathy detection and classification using mixed models for a disease grading database
Diabetic retinopathy (DR) is a primary cause of blindness in which damage occurs to the
retina due to an accretion of sugar levels in the blood. Therefore, prior detection …
retina due to an accretion of sugar levels in the blood. Therefore, prior detection …
Diabetic retinopathy in the aging population: a perspective of pathogenesis and treatment
SP Leley, TA Ciulla… - Clinical Interventions in …, 2021 - Taylor & Francis
The elderly population in the United States is projected to almost double by the year 2050. In
addition, the numbers of diabetics are rising, along with its most common complication …
addition, the numbers of diabetics are rising, along with its most common complication …
Diagnosis of diabetic retinopathy through retinal fundus images and 3D convolutional neural networks with limited number of samples
Diabetic retinopathy (DR) is a worldwide problem associated with the human retina. It leads
to minor and major blindness and is more prevalent among adults. Automated screening …
to minor and major blindness and is more prevalent among adults. Automated screening …
Human vitreous in proliferative diabetic retinopathy: characterization and translational implications
Diabetic retinopathy (DR) is one of the leading causes of visual impairment in the working-
age population. DR is a progressive eye disease caused by long-term accumulation of …
age population. DR is a progressive eye disease caused by long-term accumulation of …
Comprehensive review on the use of artificial intelligence in ophthalmology and future research directions
Background: Having several applications in medicine, and in ophthalmology in particular,
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …
artificial intelligence (AI) tools have been used to detect visual function deficits, thus playing …
Artificial intelligence and deep learning in ophthalmology-present and future
AD Moraru, D Costin, RL Moraru… - Experimental and …, 2020 - spandidos-publications.com
Since its introduction in 1959, artificial intelligence technology has evolved rapidly and
helped benefit research, industries and medicine. Deep learning, as a process of artificial …
helped benefit research, industries and medicine. Deep learning, as a process of artificial …