Effect of deep learning image reconstruction in the prediction of resectability of pancreatic cancer: Diagnostic performance and reader confidence.

Abstract

Authors

• Peijie Lyu
  Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China; Department of Radiology, Duke University Medical Center, Durham, NC, USA. Electronic address: lvpeijie2@163.com.
• Ben Neely
  Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
• Justin Solomon
  Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA.
• Francesca Rigiroli
  Università degli Studi di Milano, Scuola di specializzazione di Radiodiagnostica, Via Festa del Perdono 7, Milan, Italy.
• Yuqin Ding
  Duke University Health System, Department of Radiology, 2301 Erwin Road, Box 3808, Durham, NC, 27710, United States; Department of Radiology, Zhongshan Hospital, Fudan University; Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China. Electronic address: yuqin.ding@duke.edu.
• Fides Regina Schwartz
  University of Basel, University Hospital Basel, Radiology and Nuclear Medicine Clinic, Basel, Switzerland.
• Brian Thomsen
• Carolyn Lowry
  Duke Imaging Services Cary Parkway, Duke University Health System, INC, 3700 NW Cary Parkway Suite120, Cary, NC, USA.
• Ehsan Samei
  Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA.
• Daniele Marin
  Department of Radiology, Duke University, Durham, NC, 27710, USA.

Keywords

External Resources