Annotation Platform: Create Ground Truth

Annotation Project enables the AI developer and radiologist to curate datasets to develop or test ML Models.
CARPL comes in-built with a fully-functional DICOM Viewer with an annotation platform that allows radiologists who are either reviewing the findings of an AI algorithm, or independently testing an AI algorithm, to document their findings in a simple yet comprehensive way. The radiologist can easily edit, add or delete the pixel level annotations within the CARPL viewer and save changes
CARPL also gives AI developers and radiologists the ability to define input text fields for radiologists to fill as they go about the validation process. This is extremely critical for enhancing communication between the radiology and data science teams since often there are comments that the radiologists might want to share with the data science team.
The annotations performed by radiologists can be downloaded as JSON files by the AI developers and incorporated into their development pipelines.