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7 results for “Multi-spectral Imaging”
The CAPA Apple Quality Grading Multi-Spectral Image Database
<p>The CAPA Apple Quality Grading Multi-Spectral Image Database consists of multispectral (450nm, 500nm, 750nm, and 800nm) images of health and defected apples of bi-color, manual segmentations of defected regions, and expert evaluations of the apples into 4 quality categories. The defect types consist of bruise, rot, flesh damage, frost damage, russet, etc. The database can be used for academic or research purposes with the aim of computer vision based apple quality inspection.</p> <p>The CAPA Apple Quality Grading Multi-Spectral Image Database is a propriety of ULG (Gembloux Agro-Bio Tech) - Belgium, and cannot be used without the consent of the ULG (Gembloux Agro-Bio Tech), Belgium. <br> For consent, contact<br> Devrim Unay, İzmir University of Economics, Turkey: unaydevrim@gmail.com<br> OR<br> Marie-France Destain, Gembloux Agro-Bio Tech, Belgium: mfdestain@ulg.ac.be</p> <p><br> In disseminating results using this database, <br> 1. the author should indicate in the manuscript that it was acquired by ULG (Gembloux Agro-Bio Tech), Belgium.<br> 2. cite the following article Kleynen, O., Leemans, V., & Destain, M.-F. (2005). Development of a multi-spectral vision system for the detection of defects on apples. Journal of Food Engineering, 69(1), 41-49.</p> <p>Relevant publications:<br> Kleynen et al., 2003 O. Kleynen, V. Leemans and M.F. Destain, Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting. Postharv. Biol. Technol., 30 (2003), pp. 221–232.<br> Leemans and Destain, 2004 V. Leemans and M.F. Destain, A real-time grading method of apples based on features extracted from defects. J. Food Eng., 61 (2004), pp. 83–89.<br> Leemans et al., 2002 V. Leemans, H. Magein and M.F. Destain, On-line fruit grading according to their external quality using machine vision. Biosyst. Eng., 83 (2002), pp. 397–404.<br> Unay and Gosselin, 2006 D. Unay and B. Gosselin, Automatic defect detection of ‘Jonagold’ apples on multi-spectral images: A comparative study. Postharv. Biol. Technol., 42 (2006), pp. 271–279.<br> Unay and Gosselin, 2007 D. Unay and B. Gosselin, Stem and calyx recognition on ‘Jonagold’ apples by pattern recognition. J. Food Eng., 78 (2007), pp. 597–605.<br> Unay et al., 2011 Unay, D., Gosselin, B., Kleynen, O, Leemans, V., Destain, M.-F., Debeir, O, “Automatic Grading of Bi-Colored Apples by Multispectral Machine Vision”, Computers and Electronics in Agriculture, 75(1), 204-212, 2011.<br> </p>
Feasibility of Multi-Spectral Endoscopic Imaging for Detection of Early Neoplasia in Barrett's Oesophagus
ClinicalTrials.gov study NCT03388047. IPD Sharing: NO. Countries: 1. Publications: 1.
Multi-spectral Imaging to Assess Wounds in Peripheral Vascular Disease Patients
ClinicalTrials.gov study NCT02624674. IPD Sharing: Not stated. Countries: 0. Publications: 18.
A Pilot Study to Evaluate Multi-Spectral and Laser Speckle Imaging and Multiphoton Microscopy During Vascular Occlusion
ClinicalTrials.gov study NCT01484730. IPD Sharing: NO. Countries: 1. Publications: 0.
Image Data Collection Using a Multi-spectral Camera for Computer Vision Algorithms Research and Development
ClinicalTrials.gov study NCT05674149. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessment of Plaque Vulnerability Using a Novel Technique: Multi-spectral PhotoAcoustic Imaging.
ClinicalTrials.gov study NCT04763603. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Image Data Collection of Tanned Skin During Phototherapy Treatment Using a Multi-spectral Camera
ClinicalTrials.gov study NCT05692544. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.