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Getting Started

Training Data, Made Easy.
RedBrick AI is a purpose-built SaaS application to help healthcare AI teams in annotating medical data. RedBrick AI offers web-based annotation tools for CT, MRI, X-ray, etc., and comprehensive project management and quality control tools.
Request a free trial, or product demonstration by reaching out to us here - https://redbrickai.com/contact.

Sample Brain Brats Project

To get started with using RedBrick AI, follow along with this guide in creating a project from scratch. For the purposes of this example, we will use the Brain Brats MRI dataset linked below (NIfTI files).
Sample MRI dataset

Invite your team

RedBrick AI is a collaborative application used by engineers, clinicians, and project managers. You can start involving your entire team in your annotation projects by first adding them to your organization.

Create a taxonomy

Before creating a project, you have to create a labeling taxonomy that defines what you will annotate in your project. For this dataset, we are going to annotate the following items:
  1. 1.
    Segment the following structures:
    1. 1.
      Edema
    2. 2.
      Necrosis
    3. 3.
      Enhancing Tumor
    4. 4.
      Non-enhancing Tumor
  2. 2.
    Classify any series that is a bad-quality image

Create a project

Now that you have invited your team and created a taxonomy, you can create your project by selecting the Brain Brats taxonomy, and configuring your annotation workflow. For this exercise, we recommend a workflow with 1 Review stage.

Upload the Brain Brats dataset

First, download the Brain Brats dataset linked above. After downloading, head over to the project you have just created and click on the Upload Data button. Within the upload data dialog, select NIfTI 3D Volume as the data type, and select Yes for Group by Study. Then, drag and drop the Brain Brats folder and click on Upload.
For your information, you can integrate your cloud storage to host your own data with RedBrick AI.

Begin Annotating

Your project is completely set up and ready for annotation! Open the annotation tool by clicking on the Label button on the top right of the project dashboard.