Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

Abstract

Authors

• Shawn Haji-Momenian
  Department of Radiology, George Washington University Hospital, 900 23rd St NW, Washington, DC, 20037, USA. shajimomenian@mfa.gwu.edu.
• Zixian Lin
  Department of Biomedical Engineering, George Washington University, 800 22nd Street NW, 5000 Science & Engineering Hall, Washington, DC, 20052, USA.
• Bhumi Patel
  Department of Radiology, George Washington University Hospital, 900 23rd St NW, Washington, DC, 20037, USA.
• Nicole Law
  Department of Radiology, George Washington University Hospital, 900 23rd St NW, Washington, DC, 20037, USA.
• Adam Michalak
  Department of Family Medicine, University of Pittsburgh Medical Center (UPMC) Altoona, 501 Howard Avenue, Suite F2, Altoona, PA, 16601, USA.
• Anishsanjay Nayak
  Department of Biomedical Engineering, George Washington University, 800 22nd Street NW, 5000 Science & Engineering Hall, Washington, DC, 20052, USA.
• James Earls
  Department of Radiology, George Washington University Hospital, 900 23rd St NW, Washington, DC, 20037, USA.
• Murray Loew
  Department of Biomedical Engineering, George Washington University, 800 22nd Street NW, 5000 Science & Engineering Hall, Washington, DC, 20052, USA.

Keywords

External Resources