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A machine-learning algorithm for distinguishing malignant from benign indeterminate thyroid nodules using ultrasound radiomic features.
Keutgen, Xavier M; Li, Hui; Memeh, Kelvin; Conn Busch, Julian; Williams, Jelani; Lan, Li; Sarne, David; Finnerty, Brendan; Angelos, Peter; Fahey, Thomas J; Giger, Maryellen L.
Afiliación
  • Keutgen XM; The University of Chicago Medicine, Endocrine Surgery Research Program, Division of General Surgery and Surgical Oncology, Department of Surgery, Chicago, Illinois, United States.
  • Li H; The University of Chicago, Department of Radiology, Chicago, Illinois, United States.
  • Memeh K; The University of Chicago Medicine, Endocrine Surgery Research Program, Division of General Surgery and Surgical Oncology, Department of Surgery, Chicago, Illinois, United States.
  • Conn Busch J; The University of Chicago Medicine, Endocrine Surgery Research Program, Division of General Surgery and Surgical Oncology, Department of Surgery, Chicago, Illinois, United States.
  • Williams J; The University of Chicago Medicine, Endocrine Surgery Research Program, Division of General Surgery and Surgical Oncology, Department of Surgery, Chicago, Illinois, United States.
  • Lan L; The University of Chicago, Department of Radiology, Chicago, Illinois, United States.
  • Sarne D; The University of Chicago Medicine, Division of Endocrinology, Department of Medicine, Chicago, Illinois, United States.
  • Finnerty B; New York Presbyterian Hospital-Weill Cornell Medicine, Endocrine Oncology Research Program, Division of Endocrine Surgery, Department of Surgery, New York, United States.
  • Angelos P; The University of Chicago Medicine, Endocrine Surgery Research Program, Division of General Surgery and Surgical Oncology, Department of Surgery, Chicago, Illinois, United States.
  • Fahey TJ; New York Presbyterian Hospital-Weill Cornell Medicine, Endocrine Oncology Research Program, Division of Endocrine Surgery, Department of Surgery, New York, United States.
  • Giger ML; The University of Chicago, Department of Radiology, Chicago, Illinois, United States.
J Med Imaging (Bellingham) ; 9(3): 034501, 2022 May.
Article en En | MEDLINE | ID: mdl-35692282
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Med Imaging (Bellingham) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Med Imaging (Bellingham) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos