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Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.
Eresen, Aydin; Li, Yu; Yang, Jia; Shangguan, Junjie; Velichko, Yury; Yaghmai, Vahid; Benson, Al B; Zhang, Zhuoli.
Affiliation
  • Eresen A; Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Li Y; Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Yang J; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
  • Shangguan J; Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Velichko Y; Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Yaghmai V; Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Benson AB; Department of Radiology, Feinberg School of Medicine, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Zhang Z; Department of Radiological Sciences, School of Medicine, University of California, Irvine, CA, USA.
Cancer Imaging ; 20(1): 30, 2020 Apr 25.
Article in En | MEDLINE | ID: mdl-32334635
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colonic Neoplasms / Machine Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Cancer Imaging Journal subject: DIAGNOSTICO POR IMAGEM / NEOPLASIAS Year: 2020 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Colonic Neoplasms / Machine Learning Type of study: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Cancer Imaging Journal subject: DIAGNOSTICO POR IMAGEM / NEOPLASIAS Year: 2020 Document type: Article Affiliation country: United States Country of publication: United kingdom