Characterizing breast masses using an integrative framework of machine learning and CEUS-based radiomics.

Abstract

Authors

• Bino A Varghese
  Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
• Sandy Lee
  Division of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
• Steven Cen
  Department of Radiology, Keck School of Medicine, University of Southern California, 1500 San Pablo Street, 2nd Floor, Los Angeles, CA, 90033, USA.
• Amir Talebi
  Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
• Passant Mohd
  Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
• Daniel Stahl
  King's College London, Institute of Psychiatry, Department of Biostatistics, London, UK.
• Melissa Perkins
  Keck School of Medicine, University of Southern California, CA, USA.
• Bhushan Desai
  Department of Radiology, Keck School of Medicine, University of Southern California, 1500 San Pablo Street, 2nd Floor, Los Angeles, CA, 90033, USA.
• Vinay A Duddalwar
  Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.
• Linda H Larsen
  Keck School of Medicine, University of Southern California, 1441 Eastlake Avenue, Ground Floor, G360, Los Angeles, CA, 90033, USA.

Keywords

External Resources