Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866911959521165312 |
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| author | Primakov, Sergey Lavrova, Elizaveta Salahuddin, Zohaib Woodruff, Henry C Lambin, Philippe |
| author_facet | Primakov, Sergey Lavrova, Elizaveta Salahuddin, Zohaib Woodruff, Henry C Lambin, Philippe |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2202_13965 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis Primakov, Sergey Lavrova, Elizaveta Salahuddin, Zohaib Woodruff, Henry C Lambin, Philippe Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Quantitative Methods 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. |
| title | Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis |
| topic | Image and Video Processing Computer Vision and Pattern Recognition Machine Learning Quantitative Methods |
| url | https://arxiv.org/abs/2202.13965 |