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Use of Artificial Intelligence Deep Learning to Determine the Malignant Potential of Pancreatic Cystic Neoplasms With Preoperative Computed Tomography Imaging.
Watson, Michael D; Lyman, William B; Passeri, Michael J; Murphy, Keith J; Sarantou, John P; Iannitti, David A; Martinie, John B; Vrochides, Dionisios; Baker, Erin H.
Afiliação
  • Watson MD; Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Lyman WB; Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Passeri MJ; Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Murphy KJ; Department of Surgical Oncology, Valley Health System, Paramus, NJ, USA.
  • Sarantou JP; Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Iannitti DA; Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Martinie JB; Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Vrochides D; Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
  • Baker EH; Division of HPB Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, NC, USA.
Am Surg ; 87(4): 602-607, 2021 Apr.
Article em En | MEDLINE | ID: mdl-33131302
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Inteligência Artificial / Tomografia Computadorizada por Raios X / Adenocarcinoma Mucinoso / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Inteligência Artificial / Tomografia Computadorizada por Raios X / Adenocarcinoma Mucinoso / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article