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Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis

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arxiv 2202.13965 v1 pith:IHA2CP5C submitted 2022-02-28 eess.IV cs.CVcs.LGq-bio.QM

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis

classification eess.IV cs.CVcs.LGq-bio.QM
keywords medicalanalysisdataimagequantitativeallowscurationexploration
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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