- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Medical Imagery Data?
Medical imagery data refers to visual information obtained through various imaging techniques such as X-rays, CT scans, MRI scans, ultrasound, and others. It includes detailed images of internal body structures, organs, tissues, and abnormalities. This data is crucial for medical professionals to diagnose and monitor diseases, plan treatments, and evaluate the effectiveness of interventions.
Examples of Medical Imagery Data include medical image datasets, medical images datasets, and medical imaging datasets. Medical Imagery Data is used for various purposes such as research, diagnosis, treatment planning, and medical education. In this page, you’ll find the best data sources for medical image datasets, including options to buy radiology data or access medical image databases for free download.
Best Medical Imagery Databases & Datasets
Here is our curated selection of top Medical Imagery Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Medical Imagery Data | Global | MRI and CT | Medical Data Collection | Annotation and Labelling Services
Pixta AI | Imagery Data | Global | High volume | Annotation and Labelling Services Provided | Multimodal Medical Images OTS Datasets for AI and ML
Healthcare Data- Healthcare Contact Data, Healthcare Professionals Data, Scrape All Publicly Available Healthcare Related Data's | 50% Cost Saving
Parallel Corpus Data | 200 Million Pairs | Machine Translation Data | Natural Language Processing Data | Translation Data
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Top Medical Imagery Data Providers & Companies
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Pixta AI
CoverageUSAUK+247VWe collaborated with Pixta on an AI project. Pixta surprised us with great labelling and annotation services. Pixta Team has a high standard for the services and always double checks with us during the project to ensure alignment. Moreover, Pixta has provided licenced images, even human images, so we have no worries about the legal issue. Pixta is our first-choice partner for all AI projects.
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Nexdata
CoverageUSAUK+184Founded in 2011, Nexdata has grown to be a globally renowned AI training data service company. Nexdata owns an extensive library of off-the-shelf datasets and provides flexible data collection, annotation and curation services.Volume1M Hours Speech, 800TB ImageAccuracyAbove 95%CopyrightCollected with Consent -
Automaton AI
CoverageUSAUK+238We are a full-stack AI company with a mission to democratize Data. Automaton AI is an AI industry expert who is Transforming how businesses see the world with end-to-end AI services ranging from Data sourcing to Application Development and Model Deployment. -
ShAIp
CoverageUSAUK+213AWorking promising with health Care datasets, AI-based driven annotating datasets very precisely with the highest quality. I highly recommended to shaip for healthcare ai data collection and annotation services
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Knuckle Head
CoverageUSAUK+189An end-to-end services on AI Lifecycle for modeling unstructured image, video, and text data. Learn more at https://knuckleheadcorporation.comISO27001:2017GDPRCertified
Popular Use Cases for Medical Imagery Data
Medical Imagery Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Medical Imagery Data.
Main Attributes of Medical Imagery Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a language as per ISO 639. | View 1 datasets |
Frequently Asked Questions
How is the Quality of Medical Imagery Data Maintained?
The quality of Medical Imagery Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Medical Imagery Data Updated?
The update frequency for Medical Imagery Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Medical Imagery Data Secure?
The security of Medical Imagery Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Medical Imagery Data Delivered?
Medical Imagery Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Medical Imagery Data.
How Much Does Medical Imagery Data Cost?
The cost of Medical Imagery Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Medical Imagery Data for your needs.
What Are Similar Data Types to Medical Imagery Data?
Medical Imagery Data is similar to other data types, such as Electronic Health Record (EHR) Data, Healthcare Professionals Data, Pharma Data, Patient Data, and Wearables Data. These related categories are often used together for applications like Deep Learning and Deep Learning Medical Imaging.
