Using an improved residual network to identify pik3ca mutation status in breast cancer on ultrasound image

HIGHLIGHTS

• who: Wen-Qian Shen from the Department of, Guangdong Provincial People`s Hospital, Guangdong Academy of Medical Sciences, China, Department of, The Second Affifiliated Hospital of Harbin Medical University, Harbin, China have published the research: Using an Improved Residual Network to Identify PIK3CA Mutation Status in Breast Cancer on Ultrasound Image, in the Journal: (JOURNAL)
• what: Learning Models To confirm the enhanced performance of the improved ResNest50 model, the authors compare it with the original ResNest50 B C E F G Frontiers in Oncology | www.frontiersin.org May 2022 | Volume 12 | Article 850515 Improved Residual . . .
  

   

  

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