Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.

Journal: European radiology
PMID: 32350661

Abstract

OBJECTIVES: To develop a deep learning-based method for automated classification of renal cell carcinoma (RCC) from benign solid renal masses using contrast-enhanced computed tomography (CECT) images.

Authors

  • Fatemeh Zabihollahy
    Department of Systems and Computer Engineering, Carleton University, 339 Riversedge Crescent, Ottawa, ON, K1V 0Y6, Canada. fatemehzabihollahy@cmail.carleton.ca.
  • Nicola Schieda
    Department of Radiology, University of Ottawa, Ottawa, ON, Canada.
  • Satheesh Krishna
    Department of Biostatistics, University Health Network, Toronto, Canada.
  • Eranga Ukwatta
    School of Engineering, University of Guelph, Guelph, ON, Canada.

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