Abstract
Medical image analysis plays a key role in precision medicine. Data curation and pre-processing are critical steps in quantitative medical image analysis that can have a significant impact on the resulting performance of machine learning models. In this work, we introduce the Precision-medicine-toolbox, allowing clinical and junior researchers to perform data curation, image pre-processing, radiomics extraction, and feature exploration tasks with a customizable Python package. With this open-source tool, we aim to facilitate the crucial data preparation and exploration steps, bridge the gap between the currently existing packages, and improve the reproducibility of quantitative medical imaging research.
Original language | English |
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Article number | 100508 |
Number of pages | 4 |
Journal | Software Impacts |
Volume | 16 |
Issue number | 1 |
Early online date | 1 May 2023 |
DOIs | |
Publication status | Published - 1 May 2023 |
Keywords
- Medical imaging research
- DICOM
- Radiomics
- Statistical analysis
- Features
- Image pre-processing