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Deep learning-based automatic surgical step recognition in intraoperative videos for transanal total mesorectal excision.
Kitaguchi, Daichi; Takeshita, Nobuyoshi; Matsuzaki, Hiroki; Hasegawa, Hiro; Igaki, Takahiro; Oda, Tatsuya; Ito, Masaaki.
Afiliación
  • Kitaguchi D; Surgical Device Innovation Office, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
  • Takeshita N; Department of Colorectal Surgery, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
  • Matsuzaki H; Department of Gastrointestinal and Hepato-Biliary-Pancreatic Surgery, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan.
  • Hasegawa H; Surgical Device Innovation Office, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan. ntakeshi@east.ncc.go.jp.
  • Igaki T; Surgical Device Innovation Office, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
  • Oda T; Surgical Device Innovation Office, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
  • Ito M; Department of Colorectal Surgery, National Cancer Center Hospital East, 6-5-1, Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Surg Endosc ; 36(2): 1143-1151, 2022 02.
Article en En | MEDLINE | ID: mdl-33825016
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Recto / Laparoscopía / Cirugía Endoscópica Transanal / Aprendizaje Profundo / Proctectomía Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Japón
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias del Recto / Laparoscopía / Cirugía Endoscópica Transanal / Aprendizaje Profundo / Proctectomía Tipo de estudio: Observational_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Japón