Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
[HTML][HTML] Artificial intelligence in retina
U Schmidt-Erfurth, A Sadeghipour, BS Gerendas… - Progress in retinal and …, 2018 - Elsevier
Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …
condition of the retina and beyond ocular disease. Digital images providing millions of …
Deep learning in ophthalmology: the technical and clinical considerations
The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks
Importance Retinopathy of prematurity (ROP) is a leading cause of childhood blindness
worldwide. The decision to treat is primarily based on the presence of plus disease, defined …
worldwide. The decision to treat is primarily based on the presence of plus disease, defined …
Current state and future prospects of artificial intelligence in ophthalmology: a review
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 …
Automated identification of retinopathy of prematurity by image-based deep learning
Y Tong, W Lu, Q Deng, C Chen, Y Shen - Eye and Vision, 2020 - Springer
Background Retinopathy of prematurity (ROP) is a leading cause of childhood blindness
worldwide but can be a treatable retinal disease with appropriate and timely diagnosis. This …
worldwide but can be a treatable retinal disease with appropriate and timely diagnosis. This …
Monitoring disease progression with a quantitative severity scale for retinopathy of prematurity using deep learning
Importance Retinopathy of prematurity (ROP) is a leading cause of childhood blindness
worldwide, but clinical diagnosis is subjective and qualitative. Objective To describe a …
worldwide, but clinical diagnosis is subjective and qualitative. Objective To describe a …
[HTML][HTML] Deep learning algorithm for automated diagnosis of retinopathy of prematurity plus disease
Purpose: This study describes the initial development of a deep learning algorithm, ROP. AI,
to automatically diagnose retinopathy of prematurity (ROP) plus disease in fundal images …
to automatically diagnose retinopathy of prematurity (ROP) plus disease in fundal images …
[HTML][HTML] Artificial intelligence in retinopathy of prematurity diagnosis
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The
diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area …
diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area …
[HTML][HTML] Automatic detection of diabetic retinopathy in retinal fundus photographs based on deep learning algorithm
F Li, Z Liu, H Chen, M Jiang, X Zhang… - … vision science & …, 2019 - jov.arvojournals.org
Purpose: To achieve automatic diabetic retinopathy (DR) detection in retinal fundus
photographs through the use of a deep transfer learning approach using the Inception-v3 …
photographs through the use of a deep transfer learning approach using the Inception-v3 …