Artificial intelligence in diabetic retinopathy: A natural step to the future

SK Padhy, B Takkar, R Chawla… - Indian journal of …, 2019 - journals.lww.com
Use of artificial intelligence in medicine in an evolving technology which holds promise for
mass screening and perhaps may even help in establishing an accurate diagnosis. The …

Applications of artificial intelligence in ophthalmology: general overview

W Lu, Y Tong, Y Yu, Y Xing, C Chen… - Journal of …, 2018 - Wiley Online Library
With the emergence of unmanned plane, autonomous vehicles, face recognition, and
language processing, the artificial intelligence (AI) has remarkably revolutionized our …

Glaucoma diagnosis with machine learning based on optical coherence tomography and color fundus images

G An, K Omodaka, K Hashimoto… - Journal of healthcare …, 2019 - Wiley Online Library
This study aimed to develop a machine learning‐based algorithm for glaucoma diagnosis in
patients with open‐angle glaucoma, based on three‐dimensional optical coherence …

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 …

Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network

YP Liu, Z Li, C Xu, J Li, R Liang - Artificial intelligence in medicine, 2019 - Elsevier
Diabetic retinopathy (DR) is the most common cause of blindness in middle-age subjects
and low DR screening rates demonstrates the need for an automated image assessment …

Machine learning based detection of age-related macular degeneration (AMD) and diabetic macular edema (DME) from optical coherence tomography (OCT) images

Y Wang, Y Zhang, Z Yao, R Zhao… - Biomedical optics express, 2016 - opg.optica.org
Non-lethal macular diseases greatly impact patients' life quality, and will cause vision loss at
the late stages. Visual inspection of the optical coherence tomography (OCT) images by the …

Artificial intelligence for the detection of age-related macular degeneration in color fundus photographs: A systematic review and meta-analysis

L Dong, Q Yang, RH Zhang, WB Wei - EClinicalMedicine, 2021 - thelancet.com
Background Age-related macular degeneration (AMD) is one of the leading causes of vision
loss in the elderly population. The application of artificial intelligence (AI) provides …

[HTML][HTML] Application of artificial intelligence in ophthalmology

XL Du, WB Li, BJ Hu - International journal of ophthalmology, 2018 - ncbi.nlm.nih.gov
Artificial intelligence is a general term that means to accomplish a task mainly by a
computer, with the least human beings participation, and it is widely accepted as the …

A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images

UR Acharya, S Bhat, JEW Koh, SV Bhandary… - Computers in biology and …, 2017 - Elsevier
Glaucoma is an optic neuropathy defined by characteristic damage to the optic nerve and
accompanying visual field deficits. Early diagnosis and treatment are critical to prevent …

Three-way decision support for diagnosis on focal liver lesions

Y Chen, X Yue, H Fujita, S Fu - Knowledge-based systems, 2017 - Elsevier
Abstract Malignant Focal Liver Lesion (FLL) is a main cause of primary liver cancer. In most
existing Computer-Aided Diagnosis (CAD) systems of FLLs, machine learning and data …