Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1436-3305
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
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
- Creator
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Goto, Atsushi
Kubota, Naoto
Nishikawa, Jun
Ogawa, Ryo
Hamabe, Koichi
Hashimoto, Shinichi
Ogihara, Hiroyuki
Hamamoto, Yoshihiko
Yanai, Hideo
Miura, Osamu
Takami, Taro
- Contributor
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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
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- 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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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
Predicting tumor invasion depth in gastric cancer: developing and validating multivariate models incorporating preoperative IVIM-DWI parameters and MRI morphological characteristics
Is there a “Depth versus Participation” dilemma in international cooperation?
A simple method for diagnosing gallbladder malignant tumors with subserosa invasion by endoscopic ultrasonography
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
A novel artificial intelligence-based endoscopic ultrasonography diagnostic system for diagnosing the invasion depth of early gastric cancer
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
Predicting tumor invasion depth in gastric cancer: developing and validating multivariate models incorporating preoperative IVIM-DWI parameters and MRI morphological characteristics
Is there a “Depth versus Participation” dilemma in international cooperation?
A simple method for diagnosing gallbladder malignant tumors with subserosa invasion by endoscopic ultrasonography
Self-study of the non-extension sign in an e-learning program improves diagnostic accuracy of invasion depth of early gastric cancer