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ShareScore release 0.9.0
Dataset results
79 results for “Retinal Imaging”
Comprehensive Automatic Processing and Analysis of Adaptive Optics Flood Illumination Retinal Images
<p>A collaborative research group has established this database to support AO-FIO image utilization and evaluation of photoreceptor detection. <br> Please cite the following publication when using the database:</p> <p>Eva Valterova, Jan D. Unterlauft, Mike Francke, Toralf Kirsten, Radim Kolar, and Franziska G. Rauscher, "Comprehensive automatic processing and analysis of adaptive optics flood illumination retinal images on healthy subjects," Biomed. Opt. Express <strong>14</strong>, 945-970 (2023)<br> <br> The database can be utilized in connection with our application MATADOR for AO-FIO image registration and analysis, which is freely available on:</p> <p>https://github.com/evavalterova/MATADOR.git</p> <p>The database includes</p> <ul> <li>over 200 flood illumination adaptive optics images of 10 normal healthy subjects. Each folder includes 10 images of the right eye (denoted by OD) and 10 images of the left eye (denoted by OS) with their preliminary determined retinal position during image acquisition.</li> <li>foveal and peripheral patches. Each consists of 40 cropped regions from the set of 200 images. In each cropped region are manually labeled positions of photoreceptors by three evaluators.</li> <li>axial lengths of 10 subjects in ".xlsx" file<br> </li> </ul>
Datasets of Vascular Networks Extracted from Retinal Images of Hypertensive Retinopathy and Glaucoma Patients
<p>This dataset contains high resolution images of blood vessels extracted from Digital Retinal Images for Optic Nerve Segmentation Database (DRIONS-DB). It contains 110 blood vessels of individuals of which 23.1% are patients with chronic glaucoma while the remaining 76.9% are hypertensive retinopathy patients. </p>
Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network
Open the record for dataset details and reuse information.
Retinal status analysis method based on feature extraction and quantitative grading in OCT images
<p>The raw database includes 200 retinal OCT images judged as normal by ophthalmologists and 100 images with various abnormalities. The software includes the main steps for retinal status analysis. The software was carried out in Matlab.</p>
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0
<p>Retinal Fundus Multi-disease Image Dataset (RFMiD 2.0) is an auxiliary dataset to our previously published dataset. RFMiD 2.0 is a more challenging dataset to research society to develop the computer-based disease diagnosis system. Diabetic Retinopathy, cataracts, and refractive error in the eye are leading diseases that may lead to permanent vision loss more frequently. Therefore, developing an AI-based model to classify these diseases is useful for ophthalmologists. This dataset consists of 860 images of frequently and rarely observed 51 diseases. However, some images are labeled with multiple diseases. This dataset is useful for the research and development of AI-based medical healthcare systems in ophthalmology. </p>
Retinal Imaging in CNTF -Releasing Encapsulated Cell Implant Treated Patients for Early-stage Retinitis Pigmentosa
ClinicalTrials.gov study NCT01530659. IPD Sharing: Not stated. Countries: 1. Publications: 3.
"Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images" - Code
<p>A new method for automatic optic disc localization and segmentation is presented. The localization procedure combines vascular and brightness information to provide the best estimate of the optic disc center which is the starting point for the segmentation algorithm. A detection rate of 99.58% and 100% was achieved for the Messidor and ONHSD databases, respectively. A simple circular approximation to the optic disc boundary is proposed based on the maximum average contrast between the inner and outer ring of a circle centered on the estimated location. An average overlap coefficient of 0.890 and 0.865 was achieved for the same datasets, outperforming other state of the art methods. The results obtained confirm the advantages of using a simple circular model under non ideal conditions as opposed to more complex deformable models.</p>
High-resolution structural and functional retinal imaging in the awake behaving mouse
<p>Data presented in Communication Biology paper Feng et al. 2023 - 'High-resolution structural and functional retinal imaging in the awake behaving mouse'. Codes for processing and analysis are available on Github: https://github.com/GP-Feng/Awake_Mouse_Imaging_CommBio.git</p>
High-resolution structural and functional retinal imaging in the awake behaving mouse
<p>Source data presented in Communications Biology paper Feng et al. 2023 – ‘High-resolution structural and functional retinal imaging in the awake behaving mouse’. Complete processed data presented in Figures 2 and 3 are uploaded along with the raw simultaneously recorded rotary encoder data. Raw SLO video data of only one animal is provided due to the large size. All raw OCT and AOSLO images presented in Figures 4,6-10 are included. Codes for data analysis are available at GitHub: https://github.com/GP-Feng/Awake_Mouse_Imaging_CommBio. For additional data or questions, please contact authors Guanping Feng (gfeng4@ur.rochester.edu) or Jesse Schallek (jschall3@ur.rochester.edu).</p>
Multimodal Imaging in Vitreo-retinal Surgery and Macular Dystrophies
ClinicalTrials.gov study NCT05747144. IPD Sharing: NO. Countries: 1. Publications: 41.
Genetic Analysis and Multimodal Retinal Imaging of Asymptomatic Fovea Plana Cases in the General Population
ClinicalTrials.gov study NCT04658381. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Retinal Imaging in Patients With Inherited Retinal Degenerations
ClinicalTrials.gov study NCT00254605. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Retinal Imaging in Neurodegenerative Disease
ClinicalTrials.gov study NCT03233646. IPD Sharing: NO. Countries: 1. Publications: 2.
Adaptive Optics Retinal Imaging
ClinicalTrials.gov study NCT05370287. IPD Sharing: YES. Countries: 1. Publications: 7.
Adaptive Optics Retinal Imaging
ClinicalTrials.gov study NCT02317328. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Retinal Imaging by Adaptive Optics in Healthy Eyes and During Retinal and General Diseases
ClinicalTrials.gov study NCT01546181. IPD Sharing: Not stated. Countries: 1. Publications: 20.
Advanced OCT and Adaptive Optics Imaging in Retinal Disease (The ACAD Study)
ClinicalTrials.gov study NCT02828215. IPD Sharing: NO. Countries: 1. Publications: 1.
Multimodal Image Study of Retinal Inflammation Markers After Corticoid and Antiangiogenic Treatment in Pacients With Diabetic Macular Edema
ClinicalTrials.gov study NCT03583242. IPD Sharing: NO. Countries: 1. Publications: 7.
Function and Structure Imaging in Different Retinal Diseases: Retinal Leakage Analyzer Versus Optical Coherence Tomography
ClinicalTrials.gov study NCT00797524. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Development and Validation of a Deep Learning System for Multiple Ocular Fundus Diseases Using Retinal Images
ClinicalTrials.gov study NCT04213430. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.