A scoping review of transfer learning research on medical image analysis using ImageNet

MA Morid, A Borjali, G Del Fiol - Computers in biology and medicine, 2021 - Elsevier
Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-
trained on non-medical ImageNet dataset, has shown promising results for medical image …

An overview of artificial intelligence in diabetic retinopathy and other ocular diseases

B Sheng, X Chen, T Li, T Ma, Y Yang, L Bi… - Frontiers in Public …, 2022 - frontiersin.org
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …

Optimized convolution neural network based multiple eye disease detection

P Muthukannan - Computers in Biology and Medicine, 2022 - Elsevier
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 …

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 …

The impact of artificial intelligence and deep learning in eye diseases: a review

R Nuzzi, G Boscia, P Marolo, F Ricardi - Frontiers in Medicine, 2021 - frontiersin.org
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 …

Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network

A Imran, J Li, Y Pei, F Akhtar, T Mahmood, L Zhang - The visual computer, 2021 - Springer
Cataract is the most prevailing reason for blindness across the globe, which occupies about
4.2% population of the world. Even with the developments in visual sciences, fundus image …

Detecting visually significant cataract using retinal photograph-based deep learning

YC Tham, JHL Goh, A Anees, X Lei, TH Rim, ML Chee… - Nature aging, 2022 - nature.com
Age-related cataracts are the leading cause of visual impairment among older adults. Many
significant cases remain undiagnosed or neglected in communities, due to limited …

Automatic glaucoma detection based on transfer induced attention network

X Xu, Y Guan, J Li, Z Ma, L Zhang, L Li - BioMedical Engineering OnLine, 2021 - Springer
Background Glaucoma is one of the causes that leads to irreversible vision loss. Automatic
glaucoma detection based on fundus images has been widely studied in recent years …

[HTML][HTML] Artificial intelligence for cataract detection and management

JHL Goh, ZW Lim, X Fang, A Anees… - Asia-Pacific journal of …, 2020 - Elsevier
The rising popularity of artificial intelligence (AI) in ophthalmology is fuelled by the ever-
increasing clinical “big data” that can be used for algorithm development. Cataract is one of …

Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey

J Yang, S Fong, H Wang, Q Hu, C Lin, S Huang… - Expert Systems with …, 2021 - Elsevier
Fundus digital photography and optical coherence tomography (OCT) are currently the
primary imaging approaches for early diagnosis and treatment of eye diseases. In recent …