A novel artificial intelligence-based endoscopic ultrasonography diagnostic system for diagnosing the invasion depth of early gastric cancer
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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A novel artificial intelligence-based endoscopic ultrasonography diagnostic system for diagnosing the invasion depth of early gastric cancer ; volume:59 ; number:7 ; day:7 ; month:5 ; year:2024 ; pages:543-555 ; date:7.2024
Journal of gastroenterology ; 59, Heft 7 (7.5.2024), 543-555, 7.2024
- Urheber
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Uema, Ryotaro
Hayashi, Yoshito
Kizu, Takashi
Igura, Takumi
Ogiyama, Hideharu
Yamada, Takuya
Takeda, Risato
Nagai, Kengo
Inoue, Takuya
Yamamoto, Masashi
Yamaguchi, Shinjiro
Kanesaka, Takashi
Yoshihara, Takeo
Kato, Minoru
Yoshii, Shunsuke
Tsujii, Yoshiki
Shinzaki, Shinichiro
Takehara, Tetsuo
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s00535-024-02102-1
- URN
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urn:nbn:de:101:1-2409201048211.554260142444
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:26 MESZ
Datenpartner
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Beteiligte
- Uema, Ryotaro
- Hayashi, Yoshito
- Kizu, Takashi
- Igura, Takumi
- Ogiyama, Hideharu
- Yamada, Takuya
- Takeda, Risato
- Nagai, Kengo
- Inoue, Takuya
- Yamamoto, Masashi
- Yamaguchi, Shinjiro
- Kanesaka, Takashi
- Yoshihara, Takeo
- Kato, Minoru
- Yoshii, Shunsuke
- Tsujii, Yoshiki
- Shinzaki, Shinichiro
- Takehara, Tetsuo
- SpringerLink (Online service)
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