[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 …
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
Purpose The aim of this systematic review was to analyse literature on artificial intelligence
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
(AI) and radiomics, including all medical imaging modalities, for oncological and non …
Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images
We present a novel fully automated algorithm for the detection of retinal diseases via optical
coherence tomography (OCT) imaging. Our algorithm utilizes multiscale histograms of …
coherence tomography (OCT) imaging. Our algorithm utilizes multiscale histograms of …
Automated staging of age-related macular degeneration using optical coherence tomography
Purpose: To evaluate a machine learning algorithm that automatically grades age-related
macular degeneration (AMD) severity stages from optical coherence tomography (OCT) …
macular degeneration (AMD) severity stages from optical coherence tomography (OCT) …
[HTML][HTML] Progress on retinal image analysis for age related macular degeneration
Age-related macular degeneration (AMD) is the leading cause of vision loss in those over
the age of 50 years in the developed countries. The number is expected to increase by∼ 1.5 …
the age of 50 years in the developed countries. The number is expected to increase by∼ 1.5 …
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 …
Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography
B Li, H Chen, B Zhang, M Yuan, X **, B Lei… - British Journal of …, 2022 - bjo.bmj.com
Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of
12 major fundus diseases using colour fundus photography. Methods Diagnostic …
12 major fundus diseases using colour fundus photography. Methods Diagnostic …
Classification of healthy and diseased retina using SD-OCT imaging and Random Forest algorithm
In this paper, we propose a novel classification model for automatically identifying
individuals with age-related macular degeneration (AMD) or Diabetic Macular Edema (DME) …
individuals with age-related macular degeneration (AMD) or Diabetic Macular Edema (DME) …
Role of optical coherence tomography imaging in predicting progression of age-related macular disease: A survey
In developed countries, age-related macular degeneration (AMD), a retinal disease, is the
main cause of vision loss in the elderly. Optical Coherence Tomography (OCT) is currently …
main cause of vision loss in the elderly. Optical Coherence Tomography (OCT) is currently …
Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review
KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …