A5051540803- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Glaucoma and retinal disorders
- Ocular Diseases and Behçet’s Syndrome
- Angiogenesis and VEGF in Cancer
- Acute Ischemic Stroke Management
- Lipid metabolism and disorders
- Cerebrovascular and Carotid Artery Diseases
Hong Kong Eye Hospital
2020-2022
Chinese University of Hong Kong
2021-2022
Diabetic macular edema (DME) is the primary cause of vision loss among individuals with diabetes mellitus (DM). We developed, validated, and tested a deep learning (DL) system for classifying DME using images from three common commercially available optical coherence tomography (OCT) devices.We trained validated two versions multitask convolution neural network (CNN) to classify (center-involved [CI-DME], non-CI-DME, or absence DME) three-dimensional (3D) volume scans 2D B-scans,...
Purpose: We aimed to develop and test a deep-learning system perform image quality diabetic macular ischemia (DMI) assessment on optical coherence tomography angiography (OCTA) images. Methods: This study included 7,194 OCTA images with diabetes mellitus for training primary validation 960 from three independent data sets external testing. A trinary classification the presence or absence of DMI were labeled all Two DenseNet-161 models built both tasks superficial deep capillary plexuses,...
We investigated the demographic, ocular, diabetes-related and systemic factors associated with a binary outcome of diabetic macular ischaemia (DMI) as assessed by optical coherence tomography angiography (OCTA) evaluation non-perfusion at level superficial capillary plexus (SCP) deep (DCP) in cohort patients diabetes mellitus (DM).617 DM were recruited from July 2015 to December 2020 Chinese University Hong Kong Eye Centre. Image quality assessment (gradable or ungradable for assessing DMI)...
<a><b>Objective:</b></a> Diabetic macular edema (DME) is the primary cause of vision loss among individuals with diabetes mellitus (DM). We developed, validated, and tested a deep-learning (DL) system for classifying DME using images from three common commercially available optical coherence tomography (OCT) devices. <p><b>Research Design Methods:</b> trained validated two versions multi-task convolution neural network (CNN) to classify...
Background: Diabetic macular edema (DME) is the primary cause of irreversible vision loss among individuals with diabetes mellitus (DM). We developed, validated, and tested a deep-learning (DL) system for classifying DME using images from three common commercially available optical coherence tomography (OCT) devices.Methods: trained validated two versions multi-task network to classify (centre-involved [CI-DME], non-CI-DME, or absence DME) three-dimensional (3D) volume-scans two-dimensional...
<a><b>Objective:</b></a> Diabetic macular edema (DME) is the primary cause of vision loss among individuals with diabetes mellitus (DM). We developed, validated, and tested a deep-learning (DL) system for classifying DME using images from three common commercially available optical coherence tomography (OCT) devices. <p><b>Research Design Methods:</b> trained validated two versions multi-task convolution neural network (CNN) to classify...