  Medical image analysis plays a key role in precision medicine as it allows
the clinicians to identify anatomical abnormalities and it is routinely used in
clinical assessment. Data curation and pre-processing of medical images are
critical steps in the quantitative medical image analysis that can have a
significant impact on the resulting model performance. In this paper, we
introduce a precision-medicine-toolbox that allows researchers to perform data
curation, image pre-processing and handcrafted radiomics extraction (via
Pyradiomics) and feature exploration tasks with Python. With this open-source
solution, we aim to address the data preparation and exploration problem,
bridge the gap between the currently existing packages, and improve the
reproducibility of quantitative medical imaging research.
