Main Objective
Software development of OnkoDICOM, an open-source platform for radiotherapy research based on the DICOM standard
OnkoDICOM software
Technical Description of OnkoDICOM
- Visualization of DICOM files and Dose-Volume histogram of regions of interest (ROIs)
- Comparison of clinical data with radiomic data (statistics on the ROIs)
- Machine Learning pipeline to get insights from ROIs
- Anonymisation of output files
- Initiated by the renowned oncologist Andrew Miller and our SCRUM master Ashley Maher
- Currently being used by Radiation Oncologists at the Cancer Care Centre in Illawarra region (Australia)
Tasks Performed
Under the supervision of Ashley Maher from Didymo Designs and Professor Andrew Miller from Illawarra Cancer Care Center
- Creation of the wireframes
- Front-End development of the platform in Python with the PyQt 5 library
- Application of the SCRUM method:
- weekly meeting with the Product Owner (Andrew Miller) and the SCRUM Master (Ashley Maher)
- daily meeting with the team
- Helped the team with the understanding of the Model-View-Controller structure
- Meeting minutes writing
- Project proposal writing, as well as technical and functional documentation
Technologies Used
- Python 3.6, PyQt5 and matplotlib librairies
- Redmine for project management
Useful Links
Presentation of OnkoDICOM for the School of Computing and Information Technology (SCIT) Trade Show 2019
at the University of Wollongong, Australia