602 related articles for article (PubMed ID: 33624608)
21. Is artificial intelligence the final answer to missed polyps in colonoscopy?
Lui TKL; Leung WK
World J Gastroenterol; 2020 Sep; 26(35):5248-5255. PubMed ID: 32994685
[TBL] [Abstract][Full Text] [Related]
22. Artificial intelligence in colonoscopy.
Joseph J; LePage EM; Cheney CP; Pawa R
World J Gastroenterol; 2021 Aug; 27(29):4802-4817. PubMed ID: 34447227
[TBL] [Abstract][Full Text] [Related]
23. Multiclassification of Endoscopic Colonoscopy Images Based on Deep Transfer Learning.
Wang Y; Feng Z; Song L; Liu X; Liu S
Comput Math Methods Med; 2021; 2021():2485934. PubMed ID: 34306173
[TBL] [Abstract][Full Text] [Related]
24. Current status and limitations of artificial intelligence in colonoscopy.
Hann A; Troya J; Fitting D
United European Gastroenterol J; 2021 Jun; 9(5):527-533. PubMed ID: 34617420
[TBL] [Abstract][Full Text] [Related]
25. Overview of Deep Learning in Gastrointestinal Endoscopy.
Min JK; Kwak MS; Cha JM
Gut Liver; 2019 Jan; 13(4):388-393. PubMed ID: 30630221
[TBL] [Abstract][Full Text] [Related]
26. Artificial intelligence technologies for the detection of colorectal lesions: The future is now.
Attardo S; Chandrasekar VT; Spadaccini M; Maselli R; Patel HK; Desai M; Capogreco A; Badalamenti M; Galtieri PA; Pellegatta G; Fugazza A; Carrara S; Anderloni A; Occhipinti P; Hassan C; Sharma P; Repici A
World J Gastroenterol; 2020 Oct; 26(37):5606-5616. PubMed ID: 33088155
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. Effectiveness of a Deep-learning Polyp Detection System in Prospectively Collected Colonoscopy Videos With Variable Bowel Preparation Quality.
Becq A; Chandnani M; Bharadwaj S; Baran B; Ernest-Suarez K; Gabr M; Glissen-Brown J; Sawhney M; Pleskow DK; Berzin TM
J Clin Gastroenterol; 2020 Jul; 54(6):554-557. PubMed ID: 31789758
[TBL] [Abstract][Full Text] [Related]
30. Discovering the first US FDA-approved computer-aided polyp detection system.
Spadaccini M; Marco A; Franchellucci G; Sharma P; Hassan C; Repici A
Future Oncol; 2022 Apr; 18(11):1405-1412. PubMed ID: 35081745
[TBL] [Abstract][Full Text] [Related]
31. Artificial Intelligence-Aided Colonoscopy for Polyp Detection: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.
Zhang Y; Zhang X; Wu Q; Gu C; Wang Z
J Laparoendosc Adv Surg Tech A; 2021 Oct; 31(10):1143-1149. PubMed ID: 33524298
[No Abstract] [Full Text] [Related]
32. Artificial Intelligence in Colonoscopy.
Mansour NM
Curr Gastroenterol Rep; 2023 Jun; 25(6):122-129. PubMed ID: 37129831
[TBL] [Abstract][Full Text] [Related]
33. Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches.
Liew WS; Tang TB; Lin CH; Lu CK
Comput Methods Programs Biomed; 2021 Jul; 206():106114. PubMed ID: 33984661
[TBL] [Abstract][Full Text] [Related]
34. Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques.
ELKarazle K; Raman V; Then P; Chua C
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772263
[TBL] [Abstract][Full Text] [Related]
35. Artificial intelligence-aided colonoscopy: Recent developments and future perspectives.
Antonelli G; Gkolfakis P; Tziatzios G; Papanikolaou IS; Triantafyllou K; Hassan C
World J Gastroenterol; 2020 Dec; 26(47):7436-7443. PubMed ID: 33384546
[TBL] [Abstract][Full Text] [Related]
36. Artificial intelligence-assisted colonoscopy: A prospective, multicenter, randomized controlled trial of polyp detection.
Xu L; He X; Zhou J; Zhang J; Mao X; Ye G; Chen Q; Xu F; Sang J; Wang J; Ding Y; Li Y; Yu C
Cancer Med; 2021 Oct; 10(20):7184-7193. PubMed ID: 34477306
[TBL] [Abstract][Full Text] [Related]
37. Development and evaluation of a deep learning model to improve the usability of polyp detection systems during interventions.
Brand M; Troya J; Krenzer A; Saßmannshausen Z; Zoller WG; Meining A; Lux TJ; Hann A
United European Gastroenterol J; 2022 Jun; 10(5):477-484. PubMed ID: 35511456
[TBL] [Abstract][Full Text] [Related]
38. Impact of artificial intelligence on colorectal polyp detection.
Antonelli G; Badalamenti M; Hassan C; Repici A
Best Pract Res Clin Gastroenterol; 2021; 52-53():101713. PubMed ID: 34172246
[TBL] [Abstract][Full Text] [Related]
39. Application of Artificial Intelligence in the Detection and Differentiation of Colon Polyps: A Technical Review for Physicians.
Chao WL; Manickavasagan H; Krishna SG
Diagnostics (Basel); 2019 Aug; 9(3):. PubMed ID: 31434208
[TBL] [Abstract][Full Text] [Related]
40. An improved deep learning approach and its applications on colonic polyp images detection.
Wang W; Tian J; Zhang C; Luo Y; Wang X; Li J
BMC Med Imaging; 2020 Jul; 20(1):83. PubMed ID: 32698839
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]