Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features

This data package contains the information needed to replicate the research titled - 'Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features'

This research is part of the AMICUS project. The anonymized clinical research data from ETZ is used for this research. This data is present in the research servers at ETZ. My supervisor Wouter De Baene also has access to this research data in research servers at ETZ. Due to privacy reasons, data cannot be moved out of ETZ hospital. The data can be accessed after approval from ETZ Wetenschapsbureau. The python scripts used for model development are attached.

This research is to develop a prediction model for local control of brain metastases for stereotactic radiosurgery patients. This research can be replicated by following the methodology described in the paper.