Australian Imaging Service

Uploads exported DICOM scans and associated raw-data files to XNAT

Scripts to generate analysis pipelines that can be run in XNAT's container service

Python classes used to identify and manipulate fileformats used by the Australian Imaging Service project

ais-edge

The ACEMID interim analysis is the first large‑scale evaluation of the data collected from early participants in the ACEMID cohort study. It examines melanoma and skin‑cancer detection outcomes, 3D imaging performance, AI risk‑model development, and site‑level differences in skin‑cancer burden.

Develop AIS site content prior to production release

Generate dummy medical images, with junk image data but realistic headers, to test imaging handling pipelines

Local development stack setup and documentation for AIS

A task wrapper package for running MONAI models in Pydra