Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
arXiv:2202.13965 · doi:10.1016/j.simpa.2023.100508
Abstract
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.
15 pages, 6 figures, https://github.com/primakov/precision-medicine-toolbox
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