348 related articles for article (PubMed ID: 32282110)
1. Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists.
Ikenoyama Y; Hirasawa T; Ishioka M; Namikawa K; Yoshimizu S; Horiuchi Y; Ishiyama A; Yoshio T; Tsuchida T; Takeuchi Y; Shichijo S; Katayama N; Fujisaki J; Tada T
Dig Endosc; 2021 Jan; 33(1):141-150. PubMed ID: 32282110
[TBL] [Abstract][Full Text] [Related]
2. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.
Hirasawa T; Aoyama K; Tanimoto T; Ishihara S; Shichijo S; Ozawa T; Ohnishi T; Fujishiro M; Matsuo K; Fujisaki J; Tada T
Gastric Cancer; 2018 Jul; 21(4):653-660. PubMed ID: 29335825
[TBL] [Abstract][Full Text] [Related]
3. Diagnosis of gastric lesions through a deep convolutional neural network.
Zhang L; Zhang Y; Wang L; Wang J; Liu Y
Dig Endosc; 2021 Jul; 33(5):788-796. PubMed ID: 32961597
[TBL] [Abstract][Full Text] [Related]
4. Convolutional neural network-based system for endocytoscopic diagnosis of early gastric cancer.
Noda H; Kaise M; Higuchi K; Koizumi E; Yoshikata K; Habu T; Kirita K; Onda T; Omori J; Akimoto T; Goto O; Iwakiri K; Tada T
BMC Gastroenterol; 2022 May; 22(1):237. PubMed ID: 35549679
[TBL] [Abstract][Full Text] [Related]
5. Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.
Ueyama H; Kato Y; Akazawa Y; Yatagai N; Komori H; Takeda T; Matsumoto K; Ueda K; Matsumoto K; Hojo M; Yao T; Nagahara A; Tada T
J Gastroenterol Hepatol; 2021 Feb; 36(2):482-489. PubMed ID: 32681536
[TBL] [Abstract][Full Text] [Related]
6. Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging.
Li L; Chen Y; Shen Z; Zhang X; Sang J; Ding Y; Yang X; Li J; Chen M; Jin C; Chen C; Yu C
Gastric Cancer; 2020 Jan; 23(1):126-132. PubMed ID: 31332619
[TBL] [Abstract][Full Text] [Related]
7. Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.
Zhu Y; Wang QC; Xu MD; Zhang Z; Cheng J; Zhong YS; Zhang YQ; Chen WF; Yao LQ; Zhou PH; Li QL
Gastrointest Endosc; 2019 Apr; 89(4):806-815.e1. PubMed ID: 30452913
[TBL] [Abstract][Full Text] [Related]
8. Diagnostic accuracy of convolutional neural network-based endoscopic image analysis in diagnosing gastric cancer and predicting its invasion depth: a systematic review and meta-analysis.
Xie F; Zhang K; Li F; Ma G; Ni Y; Zhang W; Wang J; Li Y
Gastrointest Endosc; 2022 Apr; 95(4):599-609.e7. PubMed ID: 34979114
[TBL] [Abstract][Full Text] [Related]
9. Application of Convolutional Neural Networks in the Diagnosis of Helicobacter pylori Infection Based on Endoscopic Images.
Shichijo S; Nomura S; Aoyama K; Nishikawa Y; Miura M; Shinagawa T; Takiyama H; Tanimoto T; Ishihara S; Matsuo K; Tada T
EBioMedicine; 2017 Nov; 25():106-111. PubMed ID: 29056541
[TBL] [Abstract][Full Text] [Related]
10. A convolutional neural network-based system for detecting early gastric cancer in white-light endoscopy.
Zhou B; Rao X; Xing H; Ma Y; Wang F; Rong L
Scand J Gastroenterol; 2023 Feb; 58(2):157-162. PubMed ID: 36000979
[TBL] [Abstract][Full Text] [Related]
11. Development and validation of a real-time artificial intelligence-assisted system for detecting early gastric cancer: A multicentre retrospective diagnostic study.
Tang D; Wang L; Ling T; Lv Y; Ni M; Zhan Q; Fu Y; Zhuang D; Guo H; Dou X; Zhang W; Xu G; Zou X
EBioMedicine; 2020 Dec; 62():103146. PubMed ID: 33254026
[TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence for cancer detection of the upper gastrointestinal tract.
Suzuki H; Yoshitaka T; Yoshio T; Tada T
Dig Endosc; 2021 Jan; 33(2):254-262. PubMed ID: 33222330
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence in Gastric Cancer: Identifying Gastric Cancer Using Endoscopic Images with Convolutional Neural Network.
Islam MM; Poly TN; Walther BA; Lin MC; Li YJ
Cancers (Basel); 2021 Oct; 13(21):. PubMed ID: 34771416
[TBL] [Abstract][Full Text] [Related]
14. Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.
Horiuchi Y; Aoyama K; Tokai Y; Hirasawa T; Yoshimizu S; Ishiyama A; Yoshio T; Tsuchida T; Fujisaki J; Tada T
Dig Dis Sci; 2020 May; 65(5):1355-1363. PubMed ID: 31584138
[TBL] [Abstract][Full Text] [Related]
15. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis.
Ma H; Wang L; Chen Y; Tian L
Saudi J Gastroenterol; 2022; 28(5):332-340. PubMed ID: 35848703
[TBL] [Abstract][Full Text] [Related]
16. Application of convolutional neural networks for evaluating the depth of invasion of early gastric cancer based on endoscopic images.
Hamada K; Kawahara Y; Tanimoto T; Ohto A; Toda A; Aida T; Yamasaki Y; Gotoda T; Ogawa T; Abe M; Okanoue S; Takei K; Kikuchi S; Kuroda S; Fujiwara T; Okada H
J Gastroenterol Hepatol; 2022 Feb; 37(2):352-357. PubMed ID: 34713495
[TBL] [Abstract][Full Text] [Related]
17. Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.
Jin EH; Lee D; Bae JH; Kang HY; Kwak MS; Seo JY; Yang JI; Yang SY; Lim SH; Yim JY; Lim JH; Chung GE; Chung SJ; Choi JM; Han YM; Kang SJ; Lee J; Chan Kim H; Kim JS
Gastroenterology; 2020 Jun; 158(8):2169-2179.e8. PubMed ID: 32119927
[TBL] [Abstract][Full Text] [Related]
18. A clinically interpretable convolutional neural network for the real-time prediction of early squamous cell cancer of the esophagus: comparing diagnostic performance with a panel of expert European and Asian endoscopists.
Everson MA; Garcia-Peraza-Herrera L; Wang HP; Lee CT; Chung CS; Hsieh PH; Chen CC; Tseng CH; Hsu MH; Vercauteren T; Ourselin S; Kashin S; Bisschops R; Pech O; Lovat L; Wang WL; Haidry RJ
Gastrointest Endosc; 2021 Aug; 94(2):273-281. PubMed ID: 33549586
[TBL] [Abstract][Full Text] [Related]
19. Cooperation between artificial intelligence and endoscopists for diagnosing invasion depth of early gastric cancer.
Goto A; Kubota N; Nishikawa J; Ogawa R; Hamabe K; Hashimoto S; Ogihara H; Hamamoto Y; Yanai H; Miura O; Takami T
Gastric Cancer; 2023 Jan; 26(1):116-122. PubMed ID: 36040575
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence-based diagnostic system classifying gastric cancers and ulcers: comparison between the original and newly developed systems.
Namikawa K; Hirasawa T; Nakano K; Ikenoyama Y; Ishioka M; Shiroma S; Tokai Y; Yoshimizu S; Horiuchi Y; Ishiyama A; Yoshio T; Tsuchida T; Fujisaki J; Tada T
Endoscopy; 2020 Dec; 52(12):1077-1083. PubMed ID: 32503056
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]