Federated learning enables big data for rare cancer boundary detection

HIGHLIGHTS

• who: Sarthak Pati from the (UNIVERSITY) have published the article: Federated learning enables big data for rare cancer boundary detection, in the Journal: (JOURNAL) of 16/09/2022
• what: The authors demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. Since glioblastoma boundary detection is critical for treatment planning and the requisite first step for further quantitative analyses, the models generated during this study have the potential to make a far-reaching clinical impact.
• how: To further evaluate the potential . . .
  

   

  

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