Automated classification of benign and malignant lesions in F-NaF PET/CT images using machine learning.

Abstract

Authors

• Timothy Perk
  Department of Medical Physics, University of Wisconsin, Madison, WI, United States of America.
• Tyler Bradshaw
• Song Chen
  Department of Nuclear Medicine, The First Hospital of China Medical University, Shenyang, China.
• Hyung-Jun Im
• Steve Cho
• Scott Perlman
• Glenn Liu
  Lauren C. Harshman and Christopher J. Sweeney, Dana-Farber Cancer Institute, Harvard Medical School; Yu-Hui Chen, Dana-Farber Cancer Institute, Eastern Cooperative Oncology Group-American College of Radiology Imaging Network Cancer Research Group, Boston, MA; Glenn Liu and David Jarrard, University of Wisconsin School of Medicine and Public Health and Carbone Cancer Center, Madison, WI; Michael A. Carducci, Noah Hahn, and Mario Eisenberger, Johns Hopkins University, Baltimore, MD; Robert Dreicer, University of Virginia Cancer Center, Charlottesville, VA; Jorge A. Garcia, Cleveland Clinic Taussig Cancer Institute; Matthew Cooney, University Hospitals Cleveland Medical Center, Seidman Cancer Center, Cleveland, OH; Maha Hussain, Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago; Daniel Shevrin, NorthShore University Health System, Evanston, IL; Manish Kohli, Mayo Clinic, Rochester, MN; Elizabeth R. Plimack, Fox Chase Cancer Center, Temple Health, Philadelphia, PA; Nicholas J. Vogelzang, Comprehensive Cancer Centers of Nevada, Las Vegas, NV; Joel Picus, Siteman Cancer Center, Washington University School of Medicine, St Louis, MO; and Robert Dipaola, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ.
• Robert Jeraj

Keywords

External Resources