Getting Started

Rapid & Collaborative Medical Data Annotation
RedBrick AI is a purpose-built SaaS application created to help healthcare AI teams annotate medical data more effectively. RedBrick AI offers web-based annotation tools for CTs, MRIs, X-rays, etc., as well as comprehensive project management and quality control tools.
Request a free trial or product demonstration by reaching out to us here -

Sample Project - Brain Brats

This guide will help you get started using RedBrick AI by showing you how to create a project from scratch.
Let's get started!

Invite Your Team

RedBrick AI is a collaborative application built for engineers, clinicians and project managers. First, bring your team onto your annotation projects by 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 data set, we are going to annotate the following items:
  1. 1.
    Segment the following structures:
    a. Edema
    b. Necrosis
    c. Enhancing Tumor
    d. Non-enhancing Tumor
  2. 2.
    Designate any Series that happens to be a low-quality image

Create a Project

Now that you have formed your team and created a taxonomy, you can create your project by selecting the Brain Brats taxonomy and configuring your annotation workflow. We recommend a workflow with one Review Stage for the purposes of this demo.

Upload the Brain Brats Data Set

We will use the sample MRI data set linked below for this demo.
Sample MRI dataset
After downloading the data set, head over to the project you have created and click on the Upload Data button. Under the Direct Upload tab, select NIfTI 3D Volume as the data type, and select Yes for Group Tasks by Study.
Then, drag and drop the Brain Brats folder to the field and click on Upload.
If you'd like, you can also integrate your cloud storage to host your own data with RedBrick AI.

Begin Annotating

Nicely done - your project is now set up and ready for annotation! Open the annotation tool by clicking on the Label button on the top right of the project dashboard.