Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

@article{Limkin2017PromisesAC,
  title={Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology},
  author={Elaine Johanna Limkin and Roger Sun and Laurent Dercle and Evangelia I. Zacharaki and Charlotte Robert and Sylvain Reuz{\'e} and Antoine Schernberg and Nikos Paragios and Eric Deutsch and Charles Fert{\'e}},
  journal={Annals of Oncology},
  year={2017},
  volume={28},
  pages={1191–1206}
}
Medical image processing and analysis (also known as Radiomics) is a rapidly growing discipline that maps digital medical images into quantitative data, with the end goal of generating imaging biomarkers as decision support tools for clinical practice. The use of imaging data from routine clinical work-up has tremendous potential in improving cancer care by heightening understanding of tumor biology and aiding in the implementation of precision medicine. As a noninvasive method of assessing the… 

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