Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest

HIGHLIGHTS

• who: Hossein Naseri from the Medical Physics Unit, McGill University have published the Article: Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest, in the Journal: Scientific Reports Scientific Reports
• what: To the need for adequate sample sizes, which is the main motivation behind this study, a radiomics model must overcome two important challenges to be reliable in a clinical context. With the above limitations in mind, in this study, the authors investigated the feasibility of developing a fast and reliable radiomics-based ML . . .
  

   

  

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