214 related articles for article (PubMed ID: 33592048)
1. Comparison of diagnostic performance between convolutional neural networks and human endoscopists for diagnosis of colorectal polyp: A systematic review and meta-analysis.
Xu Y; Ding W; Wang Y; Tan Y; Xi C; Ye N; Wu D; Xu X
PLoS One; 2021; 16(2):e0246892. PubMed ID: 33592048
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Accuracy of artificial intelligence on histology prediction and detection of colorectal polyps: a systematic review and meta-analysis.
Lui TKL; Guo CG; Leung WK
Gastrointest Endosc; 2020 Jul; 92(1):11-22.e6. PubMed ID: 32119938
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience.
Komeda Y; Handa H; Watanabe T; Nomura T; Kitahashi M; Sakurai T; Okamoto A; Minami T; Kono M; Arizumi T; Takenaka M; Hagiwara S; Matsui S; Nishida N; Kashida H; Kudo M
Oncology; 2017; 93 Suppl 1():30-34. PubMed ID: 29258081
[TBL] [Abstract][Full Text] [Related]
7. Endoscopists performance in optical diagnosis of colorectal polyps in artificial intelligence studies.
Pecere S; Antonelli G; Dinis-Ribeiro M; Mori Y; Hassan C; Fuccio L; Bisschops R; Costamagna G; Jin EH; Lee D; Misawa M; Messmann H; Iacopini F; Petruzziello L; Repici A; Saito Y; Sharma P; Yamada M; Spada C; Frazzoni L
United European Gastroenterol J; 2022 Oct; 10(8):817-826. PubMed ID: 35984903
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.
Urban G; Tripathi P; Alkayali T; Mittal M; Jalali F; Karnes W; Baldi P
Gastroenterology; 2018 Oct; 155(4):1069-1078.e8. PubMed ID: 29928897
[TBL] [Abstract][Full Text] [Related]
9. Colorectal Polyp Image Detection and Classification through Grayscale Images and Deep Learning.
Hsu CM; Hsu CC; Hsu ZM; Shih FY; Chang ML; Chen TH
Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577209
[TBL] [Abstract][Full Text] [Related]
10. Optical diagnosis of colorectal polyps using convolutional neural networks.
Kader R; Hadjinicolaou AV; Georgiades F; Stoyanov D; Lovat LB
World J Gastroenterol; 2021 Sep; 27(35):5908-5918. PubMed ID: 34629808
[TBL] [Abstract][Full Text] [Related]
11. The impact of deep convolutional neural network-based artificial intelligence on colonoscopy outcomes: A systematic review with meta-analysis.
Aziz M; Fatima R; Dong C; Lee-Smith W; Nawras A
J Gastroenterol Hepatol; 2020 Oct; 35(10):1676-1683. PubMed ID: 32267558
[TBL] [Abstract][Full Text] [Related]
12. 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]
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. Artificial intelligence-assisted detection and classification of colorectal polyps under colonoscopy: a systematic review and meta-analysis.
Wang A; Mo J; Zhong C; Wu S; Wei S; Tu B; Liu C; Chen D; Xu Q; Cai M; Li Z; Xie W; Xie M; Kato M; Xi X; Zhang B
Ann Transl Med; 2021 Nov; 9(22):1662. PubMed ID: 34988171
[TBL] [Abstract][Full Text] [Related]
15. Automated endoscopic detection and classification of colorectal polyps using convolutional neural networks.
Ozawa T; Ishihara S; Fujishiro M; Kumagai Y; Shichijo S; Tada T
Therap Adv Gastroenterol; 2020; 13():1756284820910659. PubMed ID: 32231710
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence-based endoscopic diagnosis of colorectal polyps using residual networks.
Komeda Y; Handa H; Matsui R; Hatori S; Yamamoto R; Sakurai T; Takenaka M; Hagiwara S; Nishida N; Kashida H; Watanabe T; Kudo M
PLoS One; 2021; 16(6):e0253585. PubMed ID: 34157030
[TBL] [Abstract][Full Text] [Related]
17. Colorectal polyp characterization with standard endoscopy: Will Artificial Intelligence succeed where human eyes failed?
Parsa N; Rex DK; Byrne MF
Best Pract Res Clin Gastroenterol; 2021; 52-53():101736. PubMed ID: 34172255
[TBL] [Abstract][Full Text] [Related]
18. A Novel Convolutional Neural Network Model as an Alternative Approach to Bowel Preparation Evaluation Before Colonoscopy in the COVID-19 Era: A Multicenter, Single-Blinded, Randomized Study.
Lu YB; Lu SC; Huang YN; Cai ST; Le PH; Hsu FY; Hu YX; Hsieh HS; Chen WT; Xia GL; Xu HZ; Gong W
Am J Gastroenterol; 2022 Sep; 117(9):1437-1443. PubMed ID: 35973166
[TBL] [Abstract][Full Text] [Related]
19. Performance and comparison of artificial intelligence and human experts in the detection and classification of colonic polyps.
Li MD; Huang ZR; Shan QY; Chen SL; Zhang N; Hu HT; Wang W
BMC Gastroenterol; 2022 Dec; 22(1):517. PubMed ID: 36513975
[TBL] [Abstract][Full Text] [Related]
20. A Systematic Review and Meta-analysis of Convolutional Neural Network in the Diagnosis of Colorectal Polyps and Cancer.
Keshtkar K; Safarpour AR; Heshmat R; Sotoudehmanesh R; Keshtkar A
Turk J Gastroenterol; 2023 Oct; 34(10):985-997. PubMed ID: 37681266
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]