MD.ai Annotator has a flexible labeling system that helps you annotate for all kinds of medical AI projects, including for classification, localization, segmentation, and regression models.
Annotator supports both
A global label is applied to the whole image (eg, Normal) which is useful for letting your training algorithm know that this particular image should be in a particular category. It can also be used to label a series or entire exam.
A global label can only be applied once per image.
You can also use a global label as metadata, for example
Ignore for images
of insufficient quality or perhaps an image that doesn't belong in the dataset.
A local label can be applied to a specific region on an image
Lung Nodule). For a particular local label, multiple instances of that label can be applied to different regions on the same image (eg, for multiple lung
An arbitrary number of sublabel layers can be created to streamline label appearance and annotation.
Bounding Box mode also calculates a width and height
Freeform annotation mode also calculates the longest diameter (even if that line is not fully contained within the freeform shape)
Edit the freeform shape by mouse hovering over the edge and dragging and/or sliding any of the dots that appear. You can add control points to the figure for fine tuning.
Polygon annotation mode also calculates the longest diameter (even if that line is not fully contained within the polygon shape)
Edit the polygon shape by hovering over the edge and dragging one of the polygon corners.
Simple location coordinates are applied in this mode
Simple text nodes can be added to each annotation. To add a note, click on the
[+] for an applied label at the
Annotations toolbar below the image
Notes can be added and viewed by all collaborators. Radlex tags can be added as well.
Annotations toolbar below the image, the owner of the label is
indicated by the owner's avatar. Hovering over the label will also
show the owner's name and avatar.
Radlex coding tags can be added to global and local labels in order to use standardized terms for labels. They can also be added to notes.
Label Thumbs Up or Thumbs Down
Clicking on the Thumbs Up icon on the label tag will add a
Positive Review to the label. Conversely, clicking on the Thumbs Down icon will add a