Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images

HIGHLIGHTS

• who: Alexandre Boulenger from the Department of Computer Science and Technology, Tsinghua University, Haidian District, Beijing, China have published the research: Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images, in the Journal: (JOURNAL)
• what: The internal representation features learned by the model showed clear differentiation across molecular subtype groups. The authors aimed to develop a fully automated deep learning-based system for molecular subtype solely from breast cancer ultrasound images and evaluate the ability of the system to distinguish TNBC, which has the poorest diagnosis and prognosis, from . . .
  

   

  

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