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Combination of Radiomics and Machine Learning with Diffusion-Weighted MR Imaging for Clinical Outcome Prognostication in Cervical Cancer.

Ankush JajodiaAyushi GuptaHelmut ProschMarius E MayerhoeferSwarupa MitraSunil PasrichaAnurag MehtaSunil PuriArvind Chaturvedi
Published in: Tomography (Ann Arbor, Mich.) (2021)
The study is an effort to bridge the unmet need of translational predictive biomarkers in the stratification of uterine cervical cancer patients based on prognosis.
Keyphrases
  • contrast enhanced
  • diffusion weighted
  • machine learning
  • magnetic resonance imaging
  • magnetic resonance
  • computed tomography
  • lymph node metastasis
  • artificial intelligence
  • squamous cell carcinoma
  • big data