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 …
The impact of artificial intelligence and deep learning in eye diseases: a review
Artificial intelligence (AI) is a subset of computer science dealing with the development and
training of algorithms that try to replicate human intelligence. We report a clinical overview of …
training of algorithms that try to replicate human intelligence. We report a clinical overview of …
CataractNet: An automated cataract detection system using deep learning for fundus images
Cataract is one of the most common eye disorders that causes vision distortion. Accurate
and timely detection of cataracts is the best way to control the risk and avoid blindness …
and timely detection of cataracts is the best way to control the risk and avoid blindness …
Automatic detection of diabetic eye disease through deep learning using fundus images: a survey
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
A hybrid global-local representation CNN model for automatic cataract grading
X Xu, L Zhang, J Li, Y Guan… - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
Cataract is one of the most serious eye diseases leading to blindness. Early detection and
treatment can reduce the rate of blindness in cataract patients. However, the professional …
treatment can reduce the rate of blindness in cataract patients. However, the professional …
Computer-aided diagnosis of cataract using deep transfer learning
Cataract is a leading eye disease across the world. If cataract is not diagnosed in earlier
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …
Automatic cataract grading methods based on deep learning
Background and objective The shortage of ophthalmologists in rural areas in China causes
a lot of cataract patients not getting timely diagnosis and effective treatment. We develop an …
a lot of cataract patients not getting timely diagnosis and effective treatment. We develop an …
Cataract detection using convolutional neural network with VGG-19 model
Cataract is one of the prevalent causes of visual impairment and blindness worldwide. There
is around 50% of overall blindness. Therefore, an early detection and prevention of cataract …
is around 50% of overall blindness. Therefore, an early detection and prevention of cataract …
Automatic cataract classification using deep neural network with discrete state transition
Cataract is the clouding of lens, which affects vision and it is the leading cause of blindness
in the world's population. Accurate and convenient cataract detection and cataract severity …
in the world's population. Accurate and convenient cataract detection and cataract severity …
Machine learning for cataract classification/grading on ophthalmic imaging modalities: a survey
Cataracts are the leading cause of visual impairment and blindness globally. Over the years,
researchers have achieved significant progress in developing state-of-the-art machine …
researchers have achieved significant progress in developing state-of-the-art machine …