MIDRC-MetricTree; Cancer detection.
Finding methods and metrics for AI/ML performance evaluation.
Last updated July 1, 2024
There are many oncology detection tasks for which AI/ML algorithms may be helpful and for which performance will need to be assessed thoroughly and correctly. Here you will find examples of tasks and which branch of the MIDRC-MetricTree to investigate, including links. These tasks include:
Identification of medical images with/without presence of cancer (branch: classification -> binary classification)
Identification of location(s) within medical images of suspicious findings (branch: detection and localization)
Identification of location(s) as well as extent of suspicious findings within medical images (branches: detection and localization and segmentation)