Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1436-3305
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
-
Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer ; day:30 ; month:8 ; year:2022 ; pages:1-7
Gastric cancer ; (30.8.2022), 1-7
- Urheber
-
Goto, Atsushi
Kubota, Naoto
Nishikawa, Jun
Ogawa, Ryo
Hamabe, Koichi
Hashimoto, Shinichi
Ogihara, Hiroyuki
Hamamoto, Yoshihiko
Yanai, Hideo
Miura, Osamu
Takami, Taro
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s10120-022-01330-9
- URN
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urn:nbn:de:101:1-2022111721113766382148
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
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Beteiligte
- Goto, Atsushi
- Kubota, Naoto
- Nishikawa, Jun
- Ogawa, Ryo
- Hamabe, Koichi
- Hashimoto, Shinichi
- Ogihara, Hiroyuki
- Hamamoto, Yoshihiko
- Yanai, Hideo
- Miura, Osamu
- Takami, Taro
- SpringerLink (Online service)
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Depth estimation of tumor invasion in early gastric cancer using scattering of circularly polarized light: Monte Carlo Simulation study
The effect of short-term training about depth predicting score on the diagnostic ability of invasion depth for differentiated early gastric Cancer among non-expert endoscopists
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Self-study of the non-extension sign in an e-learning program improves diagnostic accuracy of invasion depth of early gastric cancer
XB130 promotes proliferation and invasion of gastric cancer cells
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Endoscopic imaging modalities for diagnosing invasion depth of superficial esophageal squamous cell carcinoma: a systematic review and meta-analysis
ME-NBI combined with endoscopic ultrasonography for diagnosing and staging the invasion depth of early esophageal cancer: a diagnostic meta-analysis
Preoperative CT-based radiomics for diagnosing muscle invasion of bladder cancer
Depth estimation of tumor invasion in early gastric cancer using scattering of circularly polarized light: Monte Carlo Simulation study
The effect of short-term training about depth predicting score on the diagnostic ability of invasion depth for differentiated early gastric Cancer among non-expert endoscopists
Digital image analysis of endoscopic ultrasonography is helpful in diagnosing gastric mesenchymal tumors
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Is there a “Depth versus Participation” dilemma in international cooperation?
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