Value of contrast-enhanced ct based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with kit exon 11 mutation: a two-center study

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• who: Posted Date August et al. from the Department of General SurgeryDepartment of General Surgery have published the research work: Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study, in the Journal: (JOURNAL)
• what: The aim of this study was to develop and validate a triphase CE-CT based radiomics model with two-center data that can distinguish the patients with the KIT exon 11 mutation. The authors extracted more advanced radiomics features and used relatively large data from two . . .
  

   

  

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