Precision-medicine-toolbox: An open-source python package for the quantitative medical image analysis

Elizaveta Lavrova*, Sergey Primakov, Zohaib Salahuddin, Manon Beuque, Damon Verstappen, Henry C. Woodruff, Philippe Lambin

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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 languageEnglish
Article number100508
Number of pages4
JournalSoftware Impacts
Volume16
Issue number1
Early online date1 May 2023
DOIs
Publication statusPublished - 1 May 2023

Keywords

  • Medical imaging research
  • DICOM
  • Radiomics
  • Statistical analysis
  • Features
  • Image pre-processing

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