[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 …
[HTML][HTML] Trustworthy AI: closing the gap between development and integration of AI systems in ophthalmic practice
C González-Gonzalo, EF Thee, CCW Klaver… - Progress in retinal and …, 2022 - Elsevier
An increasing number of artificial intelligence (AI) systems are being proposed in
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …
Macular OCT classification using a multi-scale convolutional neural network ensemble
Computer-aided diagnosis (CAD) of retinal pathologies is a current active area in medical
image analysis. Due to the increasing use of retinal optical coherence tomography (OCT) …
image analysis. Due to the increasing use of retinal optical coherence tomography (OCT) …
Attention to lesion: Lesion-aware convolutional neural network for retinal optical coherence tomography image classification
Automatic and accurate classification of retinal optical coherence tomography (OCT) images
is essential to assist ophthalmologist in the diagnosis and grading of macular diseases …
is essential to assist ophthalmologist in the diagnosis and grading of macular diseases …
The current state of artificial intelligence in ophthalmology
R Kapoor, SP Walters, LA Al-Aswad - Survey of ophthalmology, 2019 - Elsevier
Artificial intelligence (AI) is a branch of computer science that deals with the development of
algorithms that seek to simulate human intelligence. We provide an overview of the basic …
algorithms that seek to simulate human intelligence. We provide an overview of the basic …
Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning
M Treder, JL Lauermann, N Eter - Graefe's Archive for Clinical and …, 2018 - Springer
Purpose Our purpose was to use deep learning for the automated detection of age-related
macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT) …
macular degeneration (AMD) in spectral domain optical coherence tomography (SD-OCT) …
Deep learning based retinal OCT segmentation
We look at the recent application of deep learning (DL) methods in automated fine-grained
segmentation of spectral domain optical coherence tomography (OCT) images of the retina …
segmentation of spectral domain optical coherence tomography (OCT) images of the retina …
Multi-scale convolutional neural network for automated AMD classification using retinal OCT images
Background and objective Age-related macular degeneration (AMD) is the most common
cause of blindness in developed countries, especially in people over 60 years of age. The …
cause of blindness in developed countries, especially in people over 60 years of age. The …
Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images
Supervised deep learning has achieved prominent success in various diabetic macular
edema (DME) recognition tasks from optical coherence tomography (OCT) volumetric …
edema (DME) recognition tasks from optical coherence tomography (OCT) volumetric …
Optical coherence tomography-based deep-learning models for classifying normal and age-related macular degeneration and exudative and non-exudative age …
N Motozawa, G An, S Takagi, S Kitahata… - Ophthalmology and …, 2019 - Springer
Introduction The use of optical coherence tomography (OCT) images is increasing in the
medical treatment of age-related macular degeneration (AMD), and thus, the amount of data …
medical treatment of age-related macular degeneration (AMD), and thus, the amount of data …