The intern developed a tool for converting pulmonary nodule annotation data stored inHDF5 files to theDICOMfile format. The tool enables the extraction of annotation data from the HDF5 file as well as the lung computed tomography (CT) data of patients stored in a database. Subsequently, the tool generates and saves a DICOM annotation file following the structure indicated by the DICOM Standard Browser. The student programmed this tool in Python while keeping track of versions using Gitlab. The intern’s project facilitated the conversion of data for around a hundred patients.

Ultimately, the tool can be reused by other members of the research group in the future for projects requiring annotation data conversion to DICOM