A novel CNN algorithm for pathological complete response prediction using an I-SPY TRIAL breast MRI database.

Journal: Magnetic resonance imaging
Published Date: Sep 2, 2020

Abstract

PURPOSE: To apply our convolutional neural network (CNN) algorithm to predict neoadjuvant chemotherapy (NAC) response using the I-SPY TRIAL breast MRI dataset.

Authors

  • Michael Z Liu
    Department of Radiology, Columbia University Medical Center, New York, NY.
  • Simukayi Mutasa
    Department of Radiology, Columbia University Medical Center, New York, New York 10032.
  • Peter Chang
    Department of Urology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Maham Siddique
    Department of Radiology, Columbia University Medical Center, New York, NY.
  • Sachin Jambawalikar
    Department of Radiology, Columbia University Medical Center, New York, NY.
  • Richard Ha
    Department of Radiology, Columbia University Medical Center, New York, NY.

Keywords

External Resources

Popular Topics
Recent Journals