Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images

HIGHLIGHTS

• who: Piumi Sandarenu from the SchoolSciences, Sydney Western University have published the Article: Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images, in the Journal: Scientific Reports Scientific Reports
• what: The model produced a c-index of 0.589, which proves that it can retain a reasonable level of predictive power despite high variability and poor quality of some of the WSIs. This study shows proof of principle that the system has potential as a clinical decision assisting tool, subject to further development, validation and testing in other independent datasets . . .
  

   

  

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