Distilling Knowledge From an Ensemble of Vision Transformers for Improved Classification of Breast Ultrasound.

Journal: Academic radiology
Published Date: Sep 2, 2023

Abstract

RATIONALE AND OBJECTIVES: To develop a deep learning model for the automated classification of breast ultrasound images as benign or malignant. More specifically, the application of vision transformers, ensemble learning, and knowledge distillation is explored for breast ultrasound classification.

Authors

  • George Zhou
    Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
  • Bobak Mosadegh
    Dalio Institute of Cardiovascular Imaging, Department of Radiology, Weill Cornell Medicine, New York, NY 10021, USA.

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