OnkoDICOM was created with Radiation Oncologists to allow Radiation Oncologists to do research on DICOM standard image sets (DICOM-RT, CT, MRI, PET) using open source technologies, such as pydicom, dicompyler-core, PySide6, PIL, and matplotlib. OnkoDICOM is cross platform, open source software, and welcomes contributions. OnkoDICOM was inspired by dicompyler.
Assuming the first column in the clinical data is the Patient Identifier this will be removed from what is displayed in the filtering options table regardless of its name.
Assuming the first column in the clinical data is the Patient Identifier this will be removed from what is displayed in the filtering options table regardless of its name.