274 related articles for article (PubMed ID: 35641698)
1. A deep learning-based model improves diagnosis of early gastric cancer under narrow band imaging endoscopy.
Tang D; Ni M; Zheng C; Ding X; Zhang N; Yang T; Zhan Q; Fu Y; Liu W; Zhuang D; Lv Y; Xu G; Wang L; Zou X
Surg Endosc; 2022 Oct; 36(10):7800-7810. PubMed ID: 35641698
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos).
He X; Wu L; Dong Z; Gong D; Jiang X; Zhang H; Ai Y; Tong Q; Lv P; Lu B; Wu Q; Yuan J; Xu M; Yu H
Gastrointest Endosc; 2022 Apr; 95(4):671-678.e4. PubMed ID: 34896101
[TBL] [Abstract][Full Text] [Related]
4. A deep learning-based system for identifying differentiation status and delineating the margins of early gastric cancer in magnifying narrow-band imaging endoscopy.
Ling T; Wu L; Fu Y; Xu Q; An P; Zhang J; Hu S; Chen Y; He X; Wang J; Chen X; Zhou J; Xu Y; Zou X; Yu H
Endoscopy; 2021 May; 53(5):469-477. PubMed ID: 32725617
[TBL] [Abstract][Full Text] [Related]
5. Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study.
Hu H; Gong L; Dong D; Zhu L; Wang M; He J; Shu L; Cai Y; Cai S; Su W; Zhong Y; Li C; Zhu Y; Fang M; Zhong L; Yang X; Zhou P; Tian J
Gastrointest Endosc; 2021 Jun; 93(6):1333-1341.e3. PubMed ID: 33248070
[TBL] [Abstract][Full Text] [Related]
6. Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos).
Wu L; Wang J; He X; Zhu Y; Jiang X; Chen Y; Wang Y; Huang L; Shang R; Dong Z; Chen B; Tao X; Wu Q; Yu H
Gastrointest Endosc; 2022 Jan; 95(1):92-104.e3. PubMed ID: 34245752
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Artificial intelligence for detecting and delineating the extent of superficial esophageal squamous cell carcinoma and precancerous lesions under narrow-band imaging (with video).
Yuan XL; Zeng XH; Liu W; Mou Y; Zhang WH; Zhou ZD; Chen X; Hu YX; Hu B
Gastrointest Endosc; 2023 Apr; 97(4):664-672.e4. PubMed ID: 36509114
[TBL] [Abstract][Full Text] [Related]
10. Automatic captioning of early gastric cancer using magnification endoscopy with narrow-band imaging.
Gong L; Wang M; Shu L; He J; Qin B; Xu J; Su W; Dong D; Hu H; Tian J; Zhou P
Gastrointest Endosc; 2022 Dec; 96(6):929-942.e6. PubMed ID: 35917877
[TBL] [Abstract][Full Text] [Related]
11. Utility of an artificial intelligence system for classification of esophageal lesions when simulating its clinical use.
Tajiri A; Ishihara R; Kato Y; Inoue T; Matsueda K; Miyake M; Waki K; Shimamoto Y; Fukuda H; Matsuura N; Egawa S; Yamaguchi S; Ogiyama H; Ogiso K; Nishida T; Aoi K; Tada T
Sci Rep; 2022 Apr; 12(1):6677. PubMed ID: 35461350
[TBL] [Abstract][Full Text] [Related]
12. Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos).
Horiuchi Y; Hirasawa T; Ishizuka N; Tokai Y; Namikawa K; Yoshimizu S; Ishiyama A; Yoshio T; Tsuchida T; Fujisaki J; Tada T
Gastrointest Endosc; 2020 Oct; 92(4):856-865.e1. PubMed ID: 32422155
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Artificial intelligence for diagnosing microvessels of precancerous lesions and superficial esophageal squamous cell carcinomas: a multicenter study.
Yuan XL; Liu W; Liu Y; Zeng XH; Mou Y; Wu CC; Ye LS; Zhang YH; He L; Feng J; Zhang WH; Wang J; Chen X; Hu YX; Zhang KH; Hu B
Surg Endosc; 2022 Nov; 36(11):8651-8662. PubMed ID: 35705757
[TBL] [Abstract][Full Text] [Related]
15. A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy.
An P; Yang D; Wang J; Wu L; Zhou J; Zeng Z; Huang X; Xiao Y; Hu S; Chen Y; Yao F; Guo M; Wu Q; Yang Y; Yu H
Gastric Cancer; 2020 Sep; 23(5):884-892. PubMed ID: 32356118
[TBL] [Abstract][Full Text] [Related]
16. [Establishment and clinical validation of an artificial intelligence YOLOv51 model for the detection of precancerous lesions and superficial esophageal cancer in endoscopic procedure].
Wang SX; Ke Y; Liu YM; Liu SY; Song SB; He S; Zhang YM; Dou LZ; Liu Y; Liu XD; Wu HR; Su FX; Zhang FY; Zhang W; Wang GQ
Zhonghua Zhong Liu Za Zhi; 2022 May; 44(5):395-401. PubMed ID: 35615795
[No Abstract] [Full Text] [Related]
17. Real-time artificial intelligence for endoscopic diagnosis of early esophageal squamous cell cancer (with video).
Yang XX; Li Z; Shao XJ; Ji R; Qu JY; Zheng MQ; Sun YN; Zhou RC; You H; Li LX; Feng J; Yang XY; Li YQ; Zuo XL
Dig Endosc; 2021 Nov; 33(7):1075-1084. PubMed ID: 33275789
[TBL] [Abstract][Full Text] [Related]
18. Comparative study on artificial intelligence systems for detecting early esophageal squamous cell carcinoma between narrow-band and white-light imaging.
Li B; Cai SL; Tan WM; Li JC; Yalikong A; Feng XS; Yu HH; Lu PX; Feng Z; Yao LQ; Zhou PH; Yan B; Zhong YS
World J Gastroenterol; 2021 Jan; 27(3):281-293. PubMed ID: 33519142
[TBL] [Abstract][Full Text] [Related]
19. Application of Artificial Intelligence in Early Gastric Cancer Diagnosis.
Xiao Z; Ji D; Li F; Li Z; Bao Z
Digestion; 2022; 103(1):69-75. PubMed ID: 34666330
[TBL] [Abstract][Full Text] [Related]
20. Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging.
Kanesaka T; Lee TC; Uedo N; Lin KP; Chen HZ; Lee JY; Wang HP; Chang HT
Gastrointest Endosc; 2018 May; 87(5):1339-1344. PubMed ID: 29225083
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
