Your browser doesn't support javascript.
loading
Development of a Novel Evaluation Method for Endoscopic Ultrasound-Guided Fine-Needle Biopsy in Pancreatic Diseases Using Artificial Intelligence.
Ishikawa, Takuya; Hayakawa, Masato; Suzuki, Hirotaka; Ohno, Eizaburo; Mizutani, Yasuyuki; Iida, Tadashi; Fujishiro, Mitsuhiro; Kawashima, Hiroki; Hotta, Kazuhiro.
Afiliación
  • Ishikawa T; Department of Gastroenterology and Hepatology, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya 4668550, Japan.
  • Hayakawa M; Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 4688502, Japan.
  • Suzuki H; Department of Gastroenterology and Hepatology, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya 4668550, Japan.
  • Ohno E; Department of Gastroenterology, Toyohashi Municipal Hospital, Toyohashi 4418570, Japan.
  • Mizutani Y; Department of Gastroenterology and Hepatology, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya 4668550, Japan.
  • Iida T; Department of Gastroenterology and Hepatology, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya 4668550, Japan.
  • Fujishiro M; Department of Gastroenterology and Hepatology, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya 4668550, Japan.
  • Kawashima H; Department of Gastroenterology and Hepatology, Graduate School of Medicine, The University of Tokyo, Tokyo 1138655, Japan.
  • Hotta K; Department of Endoscopy, Nagoya University Hospital, Nagoya 4668550, Japan.
Diagnostics (Basel) ; 12(2)2022 Feb 08.
Article en En | MEDLINE | ID: mdl-35204524
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Japón
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Japón