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Radiomics and Radiogenomics Platforms Integrating Machine Learning Techniques: A Review

  • Rafael Oliveira,
  • Beatriz Martinho,
  • Ana Vieira,
  • Nelson Pacheco Rocha

摘要

Radiomics and radiogenomics are still new fields to be explored in oncology, although there are several platforms and tools already developed, or in development. This review aimed to identify the current state of the art of radiomics and radiogenomics in terms of platforms and tools integrating machine learning techniques to support the analysis of medical imaging studies of oncological patients. A systematic literature search was performed, and 19 studies were included in the review. These studies were published between 2016 and 2022 and considered several platforms and tools integrating machine learning techniques for the analysis of medical imaging studies of oncological patients together with molecular and clinical endpoints. However, the included articles present scarce evidence related to the translation of the reported platforms and tools to the clinical practice.