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Dataset results
78 results for “Image Databases”
A verified open-access AI-based chemical microparticle image database for in-situ particle visualization and quantification in multi-phase flow
<p>This report provided a new method and idea for the detection, segmentation, classification, and quantitative analysis of four dispersed phase particles - "DPPs" (agglomeration, bubble, crystal, and droplet) in chemical multi-phase flow processes.</p>
Creation of a Database of Healthy Subjects With 18FDG PET Brain Imaging as Part of the MOBILE Project (Multimodal Whole-Brain Imaging in Epilepsy)
ClinicalTrials.gov study NCT06976788. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Venous Thrombo-Embolism Imaging Database (VTE-ID)
ClinicalTrials.gov study NCT06258694. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Establishment of Tongue Image Database and Machine Learning Model for Malignant Tumors Diagnosis
ClinicalTrials.gov study NCT04793672. IPD Sharing: NO. Countries: 1. Publications: 0.
Development of a Database to Investigate Digital and Blood-Based Biomarkers and Their Relationship to Tau and Amyloid PET Imaging in Older Participants Who Are Cognitively Normal (CN), Have Mild Cogni
ClinicalTrials.gov study NCT06584357. IPD Sharing: UNDECIDED. Countries: 3. Publications: 0.
Tongue Image Database and Diagnostic Model for Digestive Tract Disease Diagnosis
ClinicalTrials.gov study NCT05182983. IPD Sharing: NO. Countries: 1. Publications: 0.
Noninvasive Pre-surgical Evaluation of Patients With Focal Epilepsy and Establishment of a Normative Imaging Database
ClinicalTrials.gov study NCT02107989. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Creation of a Database of Images of the Eye With the Holographic Doppler Laser
ClinicalTrials.gov study NCT06644196. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Normal Brain Imaging Database for Brain Disorder Studies
ClinicalTrials.gov study NCT03027869. IPD Sharing: NO. Countries: 1. Publications: 0.
Information Extraction and Database Construction for Emergent Patients Based on Voice and Image Recognition Technology
ClinicalTrials.gov study NCT04918979. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Establish a CT Images Database of Patients With Congenital Heart Disease
ClinicalTrials.gov study NCT00155467. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Development of Cardio-Vascular Emergency Patients Database Using Voice and Image Technology
ClinicalTrials.gov study NCT04918966. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Diffusion MRI-1 Imaging Database
ClinicalTrials.gov study NCT03775694. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Database and Images of Cutaneous Leishmaniasis Direct Smears: Detection of Leishmania spp. Parasite in Microscopy Images Using Machine Learning Algorithms.
<p>This database and images were created for Cutaneous Leishmaniasis research, mainly for computer vision and machine learning studies. The dataset is organized into two main folders, designed to facilitate access and analysis of the images and corresponding labeling data.</p> <p>The first folder, 'EPVIEW_LC_S,' contains a total of 500 PNG images, each with a resolution of 2592 x 1944 pixels. These images represent positive direct smears with Cutaneous Leishmaniasis. The organization of the images follows a hierarchical structure, distributed across 50 folders (L1 – L50), where each folder symbolizes an individual exam slide. Inside each main folder, there are two subfolders that house the images of the two samples present on each slide, with 5 images per subfolder, corresponding to the 5 microscopic fields captured for each sample. This results in a set of 10 images per slide.</p> <p>The second folder, 'Etiquetado_LC_T,' contains the labeling process carried out for each image with the collaboration of two experts in the field. A total of 7,905 <em>Leishmania spp.</em> parasites were identified and labeled. Using bounding boxes, the precise dimensions of the parasites were recorded, including width, height, and the central location of each parasite within the image, with (x, y) coordinates, along with the parasite label. This information was stored in JSON files, whose names correspond directly to the images they reference, ensuring an accurate relationship that facilitates the use of the data for research purposes. The organization structure of the labeling folder mirrors that of the image folder.</p>
Regional Database for Collecting Clinical-biological and Imaging Data "Secondary Bone Oncology and Bone Localizations of Hematologic Diseases"
ClinicalTrials.gov study NCT05495802. IPD Sharing: Not stated. Countries: 0. Publications: 0.
MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images
<p>This dataset provides the first comprehensive collection of histopathological images for the study and automated diagnosis of mycetoma, a neglected tropical disease. The dataset includes 864 microscopic images from 142 patients, annotated with binary masks for grain detection and segmentation. The images represent both eumycetoma (fungal, FM) and actinomycetoma (bacterial, BM) cases, offering a valuable resource for developing and evaluating AI models for disease classification and segmentation tasks. This dataset supports the advancement of digital pathology solutions.</p> <p><strong>Keywords: </strong>Mycetoma, histopathology diagnosis, Microscopic images, Image Analysis, Classification, Segmentation.</p>
Image database of giant petrels preying on sperm whales
<p>All image data of giant petrels preying on sperm whales as supplement to submitted paper by Towers and Gasco.</p>
APPENDIX S - Vuforia Engine Image Target Database
<p>APPENDIX S - Vuforia Engine Image Target Database for Memoryscapes in Recto-spection: Visualizing Avenida, Recto, and Carriedo, Manila as Virtual Memoryscapes through immersive mobile technologies and digital heritage interpretation. Thesis Adviser: Dr. Cathe Desiree S. Nadal, Ph. D.</p>
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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.