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Radiomics Analysis in Evaluation of Cervical Cancer: A Further Step on the Road

  • Reem M Elkady
    Correspondence
    Address correspondence to: R.M.E.
    Affiliations
    Department of radiology, Faculty of medicine, Assiut University, Assiut, Egypt & Department of radiology and medical imaging, College of medicine, Taibah University, Madinah, Saudi Arabia
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Published:March 17, 2022DOI:https://doi.org/10.1016/j.acra.2022.02.018
      For decades, visual assessment with simple quantitative analysis has been used to evaluate medical images. However, medical images contain more information than the visible findings. This information can be used to gain more insight into the target tissue. Encouraged by significant advances in computer technology, radiological image analysis has been expanded to include a new discipline called radiomics. Radiomics can be defined as the extraction of a large number of features from medical images followed by the analysis of the extracted data to improve decision making (
      • Gillies RJ
      • Kinahan PE
      • Hricak H.
      Radiomics: Images are more than pictures, they are data.
      ). To better process the huge amount of extracted data, artificial intelligence algorithms are used in conjunction with radiomics (
      • Chartrand G
      • Cheng PM
      • Vorontsov E
      • et al.
      Deep learning: A primer for radiologists.
      ).
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