Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
This work addresses data preparation challenges for researchers in medical imaging, but it is incremental as it builds upon existing packages like Pyradiomics.
The authors tackled the problem of data preparation and exploration in quantitative medical imaging by introducing an open-source Python package that facilitates data curation, pre-processing, and radiomics extraction, aiming to improve reproducibility and bridge gaps between existing tools.
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.