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Characterization of indeterminate breast lesions on B-mode ultrasound using automated machine learning models.
Wang, Shuo; Niu, Sihua; Qu, Enze; Forsberg, Flemming; Wilkes, Annina; Sevrukov, Alexander; Nam, Kibo; Mattrey, Robert F; Ojeda-Fournier, Haydee; Eisenbrey, John R.
Affiliation
  • Wang S; Drexel University, School of Biomedical Engineering, Science, and Health Systems, Philadelphia, Pennsylvania, United States.
  • Niu S; Thomas Jefferson University, Department of Radiology, Philadelphia, Pennsylvania, United States.
  • Qu E; Peking University People's Hospital, Department of Ultrasound, Beijing, China.
  • Forsberg F; The Third Affiliated Hospital of Sun Yat-Sen University, Department of Ultrasound, Guangzhou, China.
  • Wilkes A; Thomas Jefferson University, Department of Radiology, Philadelphia, Pennsylvania, United States.
  • Sevrukov A; Thomas Jefferson University, Department of Radiology, Philadelphia, Pennsylvania, United States.
  • Nam K; Thomas Jefferson University, Department of Radiology, Philadelphia, Pennsylvania, United States.
  • Mattrey RF; Thomas Jefferson University, Department of Radiology, Philadelphia, Pennsylvania, United States.
  • Ojeda-Fournier H; UT Southwestern, Cancer Prevention Research Institute of Texas, Department of Radiology, Dallas, Texas, United States.
  • Eisenbrey JR; University of California, Department of Radiology, San Diego, California, United States.
J Med Imaging (Bellingham) ; 7(5): 057002, 2020 Sep.
Article in En | MEDLINE | ID: mdl-37476353
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Med Imaging (Bellingham) Year: 2020 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Med Imaging (Bellingham) Year: 2020 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos