Guidelines for the management of diabetic macular edema by the European Society of Retina Specialists (EURETINA)

U Schmidt-Erfurth, J Garcia-Arumi, F Bandello… - …, 2017 - karger.com
Diabetic retinal disease is envisioned to become the plague of the coming decades with a
steep increase of worldwide diabetes incidence followed by a substantial rise in retinal …

A paradigm shift in imaging biomarkers in neovascular age-related macular degeneration

U Schmidt-Erfurth, SM Waldstein - Progress in Retinal and eye Research, 2016 - Elsevier
Neovascular age-related macular degeneration (AMD) has undergone substantial break-
throughs in diagnostic as well as therapeutic respect, with optical coherence tomography …

[HTML][HTML] Fully automated detection and quantification of macular fluid in OCT using deep learning

T Schlegl, SM Waldstein, H Bogunovic, F Endstraßer… - Ophthalmology, 2018 - Elsevier
Purpose Development and validation of a fully automated method to detect and quantify
macular fluid in conventional OCT images. Design Development of a diagnostic modality …

RETOUCH: The retinal OCT fluid detection and segmentation benchmark and challenge

H Bogunović, F Venhuizen, S Klimscha… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Retinal swelling due to the accumulation of fluid is associated with the most vision-
threatening retinal diseases. Optical coherence tomography (OCT) is the current standard of …

Deep learning-based automated classification of multi-categorical abnormalities from optical coherence tomography images

W Lu, Y Tong, Y Yu, Y Xing, C Chen… - … vision science & …, 2018 - tvst.arvojournals.org
Purpose: To develop a new intelligent system based on deep learning for automatically
optical coherence tomography (OCT) images categorization. Methods: A total of 60,407 OCT …

Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network

D Lu, M Heisler, S Lee, GW Ding, E Navajas… - Medical image …, 2019 - Elsevier
As a non-invasive imaging modality, optical coherence tomography (OCT) can provide
micrometer-resolution 3D images of retinal structures. These images can help reveal …

A view of the current and future role of optical coherence tomography in the management of age-related macular degeneration

U Schmidt-Erfurth, S Klimscha, SM Waldstein… - Eye, 2017 - nature.com
Optical coherence tomography (OCT) has become an established diagnostic technology in
the clinical management of age-related macular degeneration (AMD). OCT is being used for …

Deep learning-based automated detection of retinal diseases using optical coherence tomography images

F Li, H Chen, Z Liu, X Zhang, M Jiang, Z Wu… - Biomedical optics …, 2019 - opg.optica.org
Retinal disease classification is a significant problem in computer-aided diagnosis (CAD) for
medical applications. This paper is focused on a 4-class classification problem to …

Multi-scale pathological fluid segmentation in OCT with a novel curvature loss in convolutional neural network

G Xing, L Chen, H Wang, J Zhang… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
The segmentation of pathological fluid lesions in optical coherence tomography (OCT),
including intraretinal fluid, subretinal fluid, and pigment epithelial detachment, is of great …

Retinal specialist versus artificial intelligence detection of retinal fluid from OCT: age-related eye disease study 2: 10-year follow-on study

TDL Keenan, TE Clemons, A Domalpally, MJ Elman… - Ophthalmology, 2021 - Elsevier
Purpose To evaluate the performance of retinal specialists in detecting retinal fluid presence
in spectral domain OCT (SD-OCT) scans from eyes with age-related macular degeneration …