Guides
Start typing to search…

Labeling interfaces

Centaur Labs offers multiple labeling interfaces based on your needs. The recommended interface will depend on your data type, task complexity, and desired labeler population.

Overview

Our labeling interfaces are:

  1. DiagnosUs - our iOS labeling platform
    This is our primary labeling interface and provides access to our vast mobile labeler network. This interface is suitable for most labeling needs and offers the most scale.
  2. Desktop labeling - accessible via the desktop Centaur Platform
    The solution is tailored to utilizing consultants (sourced by you or Centaur) or your own internal team. We recommend gathering multiple opinions on each case and leveraging our collective intelligence software to aggregate those opinions. This interface is often used when annotators don’t have access to iOS products or prefer a larger screen.
  3. Desktop DICOM viewer - accessible via the desktop Centaur Platform
    The desktop DICOM viewer is also optimal for contracted consultants or your internal team. This specific solution is best for annotating DICOM images where desktop is preferred, similar to (2), and the annotation is particularly complex, requiring hours, not minutes on each case.

Summary

Interface

Platform

Potential labelers

Best for

DiagnosUs

Any iOS device (e.g., iPhone, iPad)

-Centaur mobile labeler network
-Client team
-Consultants

Most labeling tasks

Desktop labeling

Web browser

-Client team
-Consultants

Labeling for your internal team

OHIF viewer

Web browser

-Client team
-Consultants

Complex DICOM tasks

Contact your project manager if you’re not sure which labeling interface to use - they will suggest the best option based on your needs.

Supported Annotation Types

(1) Classification

  • Fixed answer choices (same answer choices for each case)
  • Dynamic answer choices (answer choices vary based on case)

(2) Polygon, box, line, circle, and pixel segmentation

  • Single class (one class of annotations)
  • Multi-class (two classes of annotations e.g. vessels and veins on heart ultrasounds)

(3) Range Selection

  • Named Entity Recognition
  • Time Range Selection

Updated 3 months ago