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Dataset results
146 results for “phase imaging”
Mapping surface flaws on float glass through Fourier ptychographic quantitative phase imaging
<p>This dataset contains the 0.7 GP quantitative phase map described in the paper "Mapping surface flaws on float glass through Fourier ptychographic quantitative phase imaging". The phase map can be loaded and visualized in Matlab. Note that the file is large (>20 GB) and requires sufficient RAM to be loaded. The pixel size of the phase map is 542 nm.</p>
2023 IEEE SPS Video and Image Processing (VIP) Cup: Ophthalmic Biomarker Detection Phase 2
<p>Ophthalmic clinical trials that study treatment efficacy of eye diseases are performed with a specific purpose and a set of procedures that are predetermined before trial initiation. Hence, they result in a controlled data collection process with gradual changes in the state of a diseased eye. In general, these data include 1D clinical measurements and 3D optical coherence tomography (OCT) imagery. Physicians interpret structural biomarkers for every patient using the 3D OCT images and clinical measurements to make personalized decisions for every patient.</p> <p>Two main challenges in medical image processing has been <em>generalization</em> and <em>personalization</em>.</p> <p>Generalization aims to develop algorithms that work well across diverse patients and scenarios, providing standardized and widely applicable solutions. Personalization, in contrast, tailors algorithms to individual patients based on their unique characteristics, optimizing diagnosis and treatment planning. Generalization offers broad applicability but may overlook individual variations. Personalization provides tailored solutions but requires patient-specific data. While deep learning has shown an affinity towards generalization, it is lacking in personalization.</p> <p>The presence and absence of biomarkers is a personalization challenge rather than a generalization challenge. The variation within OCT scans of patients between visits can be minimal while the difference in manifestation of the same disease across patients may be substantial. The domain difference between OCT scans can arise due to pathology manifestation across patients, clinical labels, and the visit along the treatment process when the scan is taken. Morphological, texture, statistical and fuzzy image processing techniques through adaptive thresholds and preprocessing may prove substantial to overcome these fine-grained challenges. This challenge provides the data and application to address personalization.</p> <p> </p> <p>These files constitute the second phase of the VIP CUP 2023 Challenge at ICIP 2023. This test set has a more general patient base than the first one and as such is a better indicator of the performance of models. This test set was created by taking a subset of the data from a publicly available OCT dataset and then asking our medical partners to provide fine-grained biomarker labels for the competition. We provide the citation for the source of these images below: </p> <p>Kermany D, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010.</p> <p> </p> <p>This zenodo repository contains the images and submission template file needed for the second phase of the competition.</p>
Exploratory, Phase 0 Study of Positron Emission Tomography (PET) Imaging Agent, F-18 RGD-K5
ClinicalTrials.gov study NCT00743353. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phase-I Study of Radiolabeled DFH-12 (PulmoBind) for Molecular Imaging of the Pulmonary Circulation
ClinicalTrials.gov study NCT01539889. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Phase 1 Imaging Study of 89Zr-DFO-HuMab-5B1 With HuMab-5B1
ClinicalTrials.gov study NCT02687230. IPD Sharing: NO. Countries: 1. Publications: 1.
A Phase 1 Pilot Study of 99mTc-MIP-1404 SPECT/CT Imaging to Histology in Men With Prostate Cancer
ClinicalTrials.gov study NCT01615406. IPD Sharing: Not stated. Countries: 1. Publications: 16.
Phase 2a Evaluation of PLN-74809 on αvβ6 Receptor Occupancy Using PET Imaging in Participants With IPF/
ClinicalTrials.gov study NCT04072315. IPD Sharing: NO. Countries: 1. Publications: 1.
A Phase I Study: PET Imaging of Cancer Patients Using [18F] 4-L-Fluoroglutamine (2S,4R)
ClinicalTrials.gov study NCT01697930. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phase-II Study of the Use of PulmoBind for Molecular Imaging of Pulmonary Hypertension
ClinicalTrials.gov study NCT02216279. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pilot Study Evaluating Somatostatin Receptor's PET Imaging to Detect Inflammatory Phases of Myocarditis
ClinicalTrials.gov study NCT03347760. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Phase 2a, Single-dose, Open-label Study to Evaluate Diagnostic Performance and Safety of Pegsitacianine, an Intraoperative Fluorescence Imaging Agent for the Detection of Cancer, in Patients With Un
ClinicalTrials.gov study NCT05576974. IPD Sharing: NO. Countries: 1. Publications: 25.
IMAGE-Endocarditis: Resonance Magnetic Imaging at the Acute Phase of Endocarditis
ClinicalTrials.gov study NCT00144885. IPD Sharing: Not stated. Countries: 1. Publications: 4.
A Study on Hemodynamic Relationship Including Cerebral Blood Flow Using Phase Contrast and Signal Intensity Gradient of Brain Magnetic Resonance Imaging, and Carotid Doppler Ultrasound
ClinicalTrials.gov study NCT04585971. IPD Sharing: NO. Countries: 1. Publications: 5.
Assessment of Cerebrospinal Fluid Flow Related Disorders Using a Phase-contrast Magnetic Resonance Imaging Technique.
ClinicalTrials.gov study NCT03656016. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Latest Imaging SPECT System Evaluation Phase 1
ClinicalTrials.gov study NCT04704349. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Phase 3 Imaging and Safety Study of AI-700 in Patients With Suspected Coronary Artery Disease Undergoing SPECT Imaging
ClinicalTrials.gov study NCT00156793. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phase 3 Safety and Imaging Study of AI-700 in Patients With Suspected Coronary Artery Disease Undergoing Coronary Angiography
ClinicalTrials.gov study NCT00156845. IPD Sharing: Not stated. Countries: 1. Publications: 1.
99mTc-MIP-1404 for Imaging Prostate Cancer: Phase I Clinical Study to Assess the Image Quality of a Simplified Kit Formulation Compared to a Multi-step Preparation of 99mTc-MIP-1404
ClinicalTrials.gov study NCT01654874. IPD Sharing: Not stated. Countries: 1. Publications: 14.
Evaluation of Vascular Pathology With 3D, Time-Resolved Phase Contrast Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT00722904. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Prospective Study Phase: Retinal Oxygen Saturation, Blood Flow, Vascular Function and High Resolution Morphometric Imaging in the Living Human Eye
ClinicalTrials.gov study NCT01348672. IPD Sharing: Not stated. Countries: 1. Publications: 5.
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.