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Automated lesion detection of breast cancer in [18F] FDG PET/CT using a novel AI-Based workflow.
Leal, Jeffrey P; Rowe, Steven P; Stearns, Vered; Connolly, Roisin M; Vaklavas, Christos; Liu, Minetta C; Storniolo, Anna Maria; Wahl, Richard L; Pomper, Martin G; Solnes, Lilja B.
Afiliação
  • Leal JP; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Rowe SP; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Stearns V; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Connolly RM; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
  • Vaklavas C; Cancer Research @ UCC, College of Medicine and Health, University College Cork, Cork, Ireland.
  • Liu MC; Huntsville Cancer Institute, University of Alabama, Birmingham, AL, United States.
  • Storniolo AM; Division of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
  • Wahl RL; Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN, United States.
  • Pomper MG; Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
  • Solnes LB; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Front Oncol ; 12: 1007874, 2022.
Article em En | MEDLINE | ID: mdl-36457510
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos