Your browser doesn't support javascript.
loading
Artificial Intelligence in Minimally Invasive Adrenalectomy: Using Deep Learning to Identify the Left Adrenal Vein.
Sengun, Berke; Iscan, Yalin; Tataroglu Ozbulak, Gozde A; Kumbasar, Nida; Egriboz, Emre; Sormaz, Ismail C; Aksakal, Nihat; Deniz, Sencer M; Haklidir, Mehmet; Tunca, Fatih; Giles Senyurek, Yasemin.
Afiliação
  • Sengun B; Department of General Surgery, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey.
  • Iscan Y; Department of General Surgery, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey.
  • Tataroglu Ozbulak GA; TUBITAK BILGEM, Kocaeli, Turkey.
  • Kumbasar N; TUBITAK BILGEM, Kocaeli, Turkey.
  • Egriboz E; TUBITAK BILGEM, Kocaeli, Turkey.
  • Sormaz IC; Department of General Surgery, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey.
  • Aksakal N; Department of General Surgery, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey.
  • Deniz SM; TUBITAK BILGEM, Kocaeli, Turkey.
  • Haklidir M; TUBITAK BILGEM, Kocaeli, Turkey.
  • Tunca F; Department of General Surgery, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey.
  • Giles Senyurek Y; Department of General Surgery, Istanbul University, Istanbul Faculty of Medicine, Istanbul, Turkey.
Surg Laparosc Endosc Percutan Tech ; 33(4): 327-331, 2023 Aug 01.
Article em En | MEDLINE | ID: mdl-37311027

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias das Glândulas Suprarrenais / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Surg Laparosc Endosc Percutan Tech Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias das Glândulas Suprarrenais / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Surg Laparosc Endosc Percutan Tech Ano de publicação: 2023 Tipo de documento: Article