Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma.

Journal: Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
PMID:

Abstract

No abstract available for this article.

Authors

  • David Joon Ho
    Video and Image Processing Laboratory, School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Narasimhan P Agaram
    Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Arthur O Frankel
    Children's Cancer Therapy Development Institute, Hillsboro, Oregon.
  • Melvin Lathara
    Datma Health Science, Beaverton, Oregon.
  • Daniel Catchpoole
    Australian Artificial Intelligence Institute, Faculty of Engineering and IT, University of Technology Sydney, Australia; Biospecimen Research Services, The Children's Cancer Research Unit, The Children's Hospital at Westmead, Australia.
  • Charles Keller
    Children's Cancer Therapy Development Institute, Hillsboro, Oregon.
  • Meera R Hameed
    Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. Electronic address: hameedm@mskcc.org.