| _ | macula | _ |
|---|
| Automatic localization of the | macula | in a supervised graph-based approach with contextual superpixel features |
| Automatic | macula | detection from retinal images by a line operator |
| Combining algorithms for automatic detection of optic disc and | macula | in fundus images |
| Deep Convolutional Neural Network Prediction for Glaucoma Detection Using OCT and OCT-Angiography Disc-and | macula | -Centered Images and Their Combined Power |
| Detection of hard exudates and red lesions in the | macula | using a multiscale approach |
| Segmentation of the Optic Disc, | macula | and Vascular Arch in Fundus Photographs |
| Simultaneous structural and functional imaging of the | macula | using combined optical coherence tomography ophthalmoscope and multifocal electroretinogram |
| Three-Dimensional Analysis of Retinal Layer Texture: Identification of Fluid-Filled Regions in SD-OCT of the | macula | |
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| _ | macular | _ |
|---|
| ADAM Challenge: Detecting Age-Related | macular | Degeneration from Fundus Images |
| Age-Related | macular | Degeneration Detection and Stage Classification Using Choroidal OCT Images |
| Analysis of | macular | Thickness Deviation Maps for Diagnosis of Glaucoma |
| Application program interface for automatic segmentation of retinal layers and fluids in Optical Coherence Tomography - Neovascular Age related | macular | degeneration retinal images using deep learning models |
| Automated 3-D Intraretinal Layer Segmentation of | macular | Spectral-Domain Optical Coherence Tomography Images |
| Automated 3-D Retinal Layer Segmentation of | macular | Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments |
| Automated detection of multiple structural changes of diabetic | macular | oedema in SDOCT retinal images through transfer learning in CNNs |
| Automated diagnosis system for age-related | macular | degeneration using hybrid features set from fundus images |
| Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age-related | macular | degeneration |
| Automated retinal layer segmentation in OCT images of age-related | macular | degeneration |
| Automated segmentation of diabetic | macular | edema in OCT B-scan images based on RCU-Net |
| Automated segmentation of | macular | layers in OCT images and quantitative evaluation of performances |
| Automated segmentation of RPE layer for the detection of age | macular | degeneration using OCT images |
| Automatic Assessment of | macular | Edema From Color Retinal Images |
| Automatic delineation of | macular | regions based on a locally defined contrast function |
| BIOMISA Retinal Image Database for | macular | and Ocular Syndromes |
| CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic | macular | Edema Grading |
| Changes in spatial extent and peak double optical density of human | macular | pigment with age |
| Classification of drusen positions in optical coherence tomography data from patients with age-related | macular | degeneration |
| Classification of dry age-related | macular | degeneration and diabetic macular oedema from optical coherence tomography images using dictionary learning |
| Classification of dry age-related | macular | degeneration and diabetic macular oedema from optical coherence tomography images using dictionary learning |
| comprehensive review on automated systems for severity grading of diabetic retinopathy and | macular | edema, A |
| Conditional GAN for Prediction of Glaucoma Progression with | macular | Optical Coherence Tomography |
| Construction of a Retinal Atlas for | macular | OCT Volumes |
| DeepAMD: Detect Early Age-Related | macular | Degeneration by Applying Deep Learning in a Multiple Instance Learning Framework |
| Detection of diabetic retinopathy and age-related | macular | degeneration from fundus images through local binary patterns and random forests |
| Early age-related | macular | degeneration detection by focal biologically inspired feature |
| Effective Drusen Segmentation from Fundus Images for Age-Related | macular | Degeneration Screening |
| Fully Convolutional Network and Graph-Based Method for Co-Segmentation of Retinal Layer on | macular | OCT Images |
| Growcut-based drusen segmentation for age-related | macular | degeneration detection |
| Imaging polarimetry in patients with neovascular age-related | macular | degeneration |
| Independent Component Analysis for Vision-inspired Classification of Retinal Images with Age-related | macular | Degeneration |
| Intraretinal Layer Segmentation of | macular | Optical Coherence Tomography Images Using Optimal 3-D Graph Search |
| MacD-Net: An automatic guided-ensemble approach for | macular | pathology detection using optical coherence tomography images |
| macular | Degeneration Detection, AMD, Retinal Analysis Application |
| macular | OCT Classification Using a Multi-Scale Convolutional Neural Network Ensemble |
| Multi-Level Dual-Attention Based CNN for | macular | Optical Coherence Tomography Classification |
| Multi-Scale Segmentation and Surface Fitting for Measuring 3-D | macular | Holes |
| Nonlinear Enhancement and Segmentation Algorithm for the Detection of Age-related | macular | Degeneration (AMD) in Human Eye's Retina |
| Predicting | macular | Edema Recurrence from Spatio-Temporal Signatures in Optical Coherence Tomography Images |
| Quantitative assessment of Diabetic | macular | Edema using fluorescein leakage maps |
| Segmentation of | macular | Fluorescein Angiographies. A Statistical Approach |
| Towards an Automatic Clinical Classification of Age-Related | macular | Degeneration |
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