5.8K+ PET Scans without Findings Dataset
Medical Imaging Data
Tags and Keywords
£26,200
About
5.8K+ PET Scans without Findings Dataset
Description
The 5.8K+ PET Scans without Findings Dataset is a curated collection of Positron Emission Tomography (PET) medical images that do not include accompanying diagnostic findings, radiology reports, lesion annotations, or clinical interpretations. The dataset is designed for medical imaging AI, computer vision, image preprocessing, self-supervised learning, representation learning, and healthcare research.
This dataset provides high-quality PET scan images suitable for developing AI models for image enhancement, denoising, segmentation, registration, quality assessment, and foundation model pre-training. It serves as a valuable resource for researchers, healthcare organizations, and AI developers building next-generation medical imaging and nuclear medicine applications.
Note: Pricing varies depending on several factors, including the number of medical images, image quality and resolution, metadata availability, annotation requirements, imaging modality, file formats, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| File Name | Original image filename |
| Image Format | Image file format (DICOM) |
| Modality | PET |
| Image Dimensions | Width × Height |
| Resolution | Image resolution in pixels or voxels |
| Pixel Depth | Bit depth of the image |
| Findings Status | Without Findings |
| Annotation Status | No annotations provided |
| Diagnostic Report | Not included |
Distribution
- Format: DICOM
Data Volume
- Records: 5.8K+ PET scan image records
- Images: 5.8K+ PET scan images without diagnostic findings
- Dataset Size: Dataset size may vary depending on image resolution, number of image slices, file formats, metadata availability, annotations, and dataset version.
Usage
This data product is ideal for a variety of applications:
- Medical AI: Train AI and deep learning models for PET image analysis.
- Computer Vision: Develop image representation and feature extraction models.
- Image Enhancement: Build denoising, normalization, and reconstruction algorithms.
- Medical Image Segmentation: Develop organ and anatomical structure segmentation models.
- Image Registration: Train models for multimodal image alignment and registration.
- Self-Supervised Learning: Pre-train foundation models using unlabeled PET images.
- Quality Assessment: Develop automated PET image quality evaluation systems.
- Nuclear Medicine Research: Support quantitative imaging and workflow optimization.
- Healthcare AI: Develop AI-powered medical imaging solutions.
- Academic Research: Benchmark medical image analysis algorithms.
Coverage
Geographic Coverage
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| file_name | String | Image filename | Original filename |
| image_format | String | Image file format | DICOM |
| modality | String | Imaging modality | PET |
| width | Integer | Image width | Pixels |
| height | Integer | Image height | Pixels |
| resolution | String | Image resolution | Width × Height / Voxel dimensions |
| bit_depth | Integer | Pixel bit depth | Depends on format |
| findings_status | String | Findings availability | Without Findings |
| annotation_status | String | Annotation availability | None |
| diagnostic_report | String | Diagnostic report | Not Included |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
Additional Notes
- This dataset contains PET scan images without accompanying diagnostic findings, radiology reports, or lesion annotations.
- It is suitable for medical imaging AI, computer vision, image preprocessing, segmentation, image registration, representation learning, and self-supervised learning.
- The dataset can support the development of AI foundation models, image enhancement pipelines, and healthcare imaging research.
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£26,200
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