Article

Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retina

2021-04-09

Abstract excerpt

<h4>Purpose: </h4> - To compare automated retinal image segmentation using cross-platform and proprietary software on images captured using Heidelberg HRA + OCT in normal and diseased eyes. Methods- Study of retinal layer segmentations of normal, intermediate dry Age-related Macular Degeneration (iAMD) and Diabetic Macular Edema (DME) eyes performed using Heidelberg Spectralis HRA + OCT and automated OCT segment...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c1a59ce5-2445-506b-8cf0-2dd25a8d0958
DOI: 10.21203/rs.3.rs-396609/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Assessing the validity of a cross-platform retinal image segmentation tool in normal and diseased retinaDOI 10.21203/rs.3.rs-396609/v1Read

Cost-Effective 3D Reconstruction of Retinal Vasculature from 2D OCTA B-Scans: A Software-Based Approach with Layer-Specific InsightsSemantic proximity Read

OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layersSemantic proximity Read

Characterisation and clinical impact of hypertransmission alterations in neovascular age-related macular degeneration using en face OCTSemantic proximity Read

Automated Interpretation of Fundus Fluorescein Angiography with Multi-Retinal Lesion SegmentationSemantic proximity Read

Deep Learning based retinal layer segmentation in optical coherence tomography scans of patients with inherited retinal diseasesSemantic proximity Read

Novel Semi-Automated System for Multi-Dimensional Analysis of Macular Neovascularization: A Comparative Study of Quantitative Biomarkers and Morphological-Pathophysiological ClassificationSemantic proximity Read

Volumetrically tracking retinal and choroidal structural changes in central serous chorioretinopathySemantic proximity Read

Thickness mapping of individual retinal layers and sectors by Spectralis SD-OCT in Autosomal Dominant Optic Atrophy.Semantic proximity Read

Deep Learning-Based SD-OCT Layer Segmentation Quantifies Outer Retina Changes in Patients With Biallelic RPE65 Mutations Undergoing Gene Therapy.Semantic proximity Read

Deep Learning based Intraretinal Layer Segmentation using Cascaded Compressed U-NetSemantic proximity Read

Advanced Machine Learning Techniques for Retinal Lesion Segmentation: A Comprehensive Review Across Ophthalmic PathologiesSemantic proximity Read

Delineating retinal breaks in ultra-widefield fundus images with a PraNet-based machine learning modelSemantic proximity Read