Enhance your AI training model with over **42,000 high-quality MRI scans** in original DICOM format. Perfect for **healthcare** applications. 


![3.1_Medical scans_ MRI.jpg](https://prdstrapimediastorage.blob.core.windows.net/prdstrapimediastorage/assets/3_1_Medical_scans_MRI_799a88905a.jpg)

Type

Amount

Field

Data Type

## Leverage this dataset to:

**Enhance Clinical Decision Support:** Utilize a wide array of diagnostic images and detailed annotations for real-time identification and diagnosis, enriching AI models with the capability to support clinicians in making informed decisions.

**Advance Medical Research:** Leverage the diverse collection of images in their original DICOM format to uncover patterns and support research in medical imaging, contributing to early disease detection and improved health outcomes.


## Use Cases

- **Medical Image Segmentation:** Utilize the dataset to train AI models for segmenting different anatomical structures and tissues within MRI scans. This can aid in precise localization of abnormalities such as tumors, lesions, or organs for surgical planning or disease diagnosis.

- **Disease Detection and Diagnosis**: Train AI algorithms to analyze MRI scans and detect signs of diseases or medical conditions, including neurological disorders, musculoskeletal injuries, cardiovascular diseases, and oncological abnormalities. AI can assist radiologists in identifying subtle changes indicative of pathology.

- **Functional MRI (fMRI) Analysis:** Apply AI methods to analyze functional MRI (fMRI) data to study brain activity, connectivity patterns, and cognitive functions. AI-based fMRI analysis can contribute to neuroscience research, psychiatric diagnosis, and understanding neurological disorders.

## Technical Specifications

- **Type**: Image &amp; Video
- **Quantity**: Over 42,000
- **Data Type**: Medical Images
- **Domain**: Healthcare
- **File Format**: DCM (DICOM)
- **Demographic Description**: pt-BZ 
- **Metadata/Annotation**: Available as an added service





CAT_illustration2.svg

Discover the precision of specialized AI training with our extensive dataset collections. Tailor your AI systems with data that drives performance and innovation. 
Start with a free sample or explore our diverse dataset portfolio to find exactly what you need for your next breakthrough.


Enhance Your AI with Specialized Datasets 

## Why Choose Our Dataset?

<iframe width="100%" height="400" src="https://www.youtube.com/embed/tpzSae9wNLE?si=evnd0iXqzBx8nD_w" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>

### Ethical Data Collection
At Defined.ai, we are committed to ethical data collection practices, ensuring that our datasets are derived from fully consented, transparent processes. Our global, diverse crowdsourcing strategy not only expands the dataset's scope, but also steadfastly maintains standards of privacy and integrity. [Download our Ethical AI Manifesto](https://connect.defined.ai/ethical-ai-manifesto?utm_source=website&amp;utm_medium=menu&amp;utm_campaign=ethical-ai-manifesto).

### Tailored to Your Needs
We understand the uniqueness of every project. That's why we offer customizable dataset solutions to match your specific requirements, from particular object classes to desired languages and formats. Our goal is to deliver data that not only meets but exceeds your project expectations.

### Partnering for Innovation
Selecting Defined.ai as your data partner opens doors to innovation. Our datasets are foundational elements for developing sophisticated AI models across various applications. With us, you gain more than just data; you leverage our expertise and dedication to advancing AI technology.


### License Information

This dataset is covered by our standard [Data license agreement](https://www.defined.ai/dataset/data-licence-agreement). The license agreement is perpetual and allows for the commercialization of all models built on the data.


High-Quality MRI Dataset