End-to-end framework for automated collection of large multicentre radiotherapy datasets demonstrated in a Danish Breast Cancer Group cohort
Large PEPOGEST Digital Imaging and Communications in Medicine (DICOM) datasets are key to support research and the development of machine learning technology in radiotherapy (RT).However, the tools for multi-centre data collection, curation and standardisation are not readily available.Automated batch DICOM export solutions were demonstrated for a