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.
@article{arxiv.2202.13965,
title = {Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis},
author = {Sergey Primakov and Elizaveta Lavrova and Zohaib Salahuddin and Henry C Woodruff and Philippe Lambin},
journal= {arXiv preprint arXiv:2202.13965},
year = {2024}
}