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Create Project

New project

An MD.ai project consists of DICOM datasets, users, label groups and labels. To create a project, ensure you have the requisite permissions, and click on "New Project" in the side panel.

1

Add dataset

Every project should contain at least one dataset. A common use case for having more than one dataset in a project is separating training and test sets. After creating the new project, click on the "Add Dataset" button to create the first dataset. This dataset will serve as the container into which you will load your data. Note the project and dataset IDs.

Supported Medical Modalities

  • CR Computed Radiography
  • CT Computed Tomography
  • MR MRI
  • NM Nuclear Medicine
  • US Ultrasound
  • PT Positron emission tomography
  • RG Radiographic imaging (conventional film/screen)
  • DX Digital Radiography
  • MG Mammography

Load external data into project dataset

If your dataset source is set to "Upload", there are 2 options to load external data:

  1. Use the web UI directly (draganddrop a folder containing your DICOM images, or use the upload files/upload folder buttons). 3
  2. Use the MD.ai CLI tool. This is highly recommended for larger datasets (e.g., >100 MB). See the CLI Usage page for command descriptions.

Once uploading is complete, the uploaded data will be processed in the background. Once finished, the DICOM series thumbnails will appear:

The project can now be launched in the Annotator app:

5

Attach Project to your GCP Bucket

  1. Fill in name of bucket
  2. Give permissions in GCP bucket as outlined next to checkbox
  3. Check box
  4. Connect

User Roles

The following are the privileges associated with each viewer role.

Inactive users

• no access to project and no cases are visible

View only users

view cases to which they have been given access or all cases if no restriction set

View and edit users

create and edit their own annotationsupvote/downvote other users' annotationsreorder labels for themselvesbulk delete their own annotations

Administrators

 create, edit, and delete Labels and Label Groups
 create hanging protocols
 assign, invite, and restrict users
 create new datasets
 download/upload images and annotations
 all view/edit functions

Superusers

• create new projects
• have all the admin privileges 
• superusers are set up directly by MD.ai

Troubleshooting Processing is Stuck

If the processing of files gets stuck at a number divisible by 1000, it's likely due to an issue with your internet stability. You can cancel the current processing task and reload your images.

Cancel Processing

Go to the Project Card and choose the gear icon on the dataset for which you need to cancel and restart processing. Choose 'Cancel Processing' and then restart with either CLI tool or drag and drop.

Turn off sleep mode

Turn off your computer's sleep mode temporarily for loading large datasets. When the computer goes to sleep, it will disconnect the processing. If that happens, choose Cancel Processing on the Edit page of the project and reload the data.