263 related articles for article (PubMed ID: 32433506)
1. Real-time detection of colon polyps during colonoscopy using deep learning: systematic validation with four independent datasets.
Lee JY; Jeong J; Song EM; Ha C; Lee HJ; Koo JE; Yang DH; Kim N; Byeon JS
Sci Rep; 2020 May; 10(1):8379. PubMed ID: 32433506
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy.
Wang P; Xiao X; Glissen Brown JR; Berzin TM; Tu M; Xiong F; Hu X; Liu P; Song Y; Zhang D; Yang X; Li L; He J; Yi X; Liu J; Liu X
Nat Biomed Eng; 2018 Oct; 2(10):741-748. PubMed ID: 31015647
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided automated diminutive colonic polyp detection in colonoscopy by using deep machine learning system; first indigenous algorithm developed in India.
Mazumdar S; Sinha S; Jha S; Jagtap B
Indian J Gastroenterol; 2023 Apr; 42(2):226-232. PubMed ID: 37145230
[TBL] [Abstract][Full Text] [Related]
4. Polyp detection algorithm can detect small polyps: Ex vivo reading test compared with endoscopists.
Guo Z; Nemoto D; Zhu X; Li Q; Aizawa M; Utano K; Isohata N; Endo S; Kawarai Lefor A; Togashi K
Dig Endosc; 2021 Jan; 33(1):162-169. PubMed ID: 32173917
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Artificial intelligence and polyp detection in colonoscopy: Use of a single neural network to achieve rapid polyp localization for clinical use.
Li JW; Chia T; Fock KM; Chong KW; Wong YJ; Ang TL
J Gastroenterol Hepatol; 2021 Dec; 36(12):3298-3307. PubMed ID: 34327729
[TBL] [Abstract][Full Text] [Related]
7. Establishment and validation of a computer-assisted colonic polyp localization system based on deep learning.
Zhao SB; Yang W; Wang SL; Pan P; Wang RD; Chang X; Sun ZQ; Fu XH; Shang H; Wu JR; Chen LZ; Chang J; Song P; Miao YL; He SX; Miao L; Jiang HQ; Wang W; Yang X; Dong YH; Lin H; Chen Y; Gao J; Meng QQ; Jin ZD; Li ZS; Bai Y
World J Gastroenterol; 2021 Aug; 27(31):5232-5246. PubMed ID: 34497447
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information.
Tajbakhsh N; Gurudu SR; Liang J
IEEE Trans Med Imaging; 2016 Feb; 35(2):630-44. PubMed ID: 26462083
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of novel LCI CAD EYE system for real time detection of colon polyps.
Neumann H; Kreft A; Sivanathan V; Rahman F; Galle PR
PLoS One; 2021; 16(8):e0255955. PubMed ID: 34437563
[TBL] [Abstract][Full Text] [Related]
11. PolyEffNetV1: A CNN based colorectal polyp detection in colonoscopy images.
Sadagopan R; Ravi S; Adithya SV; Vivekanandhan S
Proc Inst Mech Eng H; 2023 Mar; 237(3):406-418. PubMed ID: 36683465
[TBL] [Abstract][Full Text] [Related]
12. Polyp Sizing Poster Improves Polyp Measurement but not Adenoma Detection Rates by Endoscopists in a Large Community Practice.
Shaukat A; Shamsi N; Menk J; Church TR; Rank J; Colton JB
Clin Gastroenterol Hepatol; 2019 Sep; 17(10):2034-2041. PubMed ID: 30312788
[TBL] [Abstract][Full Text] [Related]
13. Detection of elusive polyps using a large-scale artificial intelligence system (with videos).
Livovsky DM; Veikherman D; Golany T; Aides A; Dashinsky V; Rabani N; Ben Shimol D; Blau Y; Katzir L; Shimshoni I; Liu Y; Segol O; Goldin E; Corrado G; Lachter J; Matias Y; Rivlin E; Freedman D
Gastrointest Endosc; 2021 Dec; 94(6):1099-1109.e10. PubMed ID: 34216598
[TBL] [Abstract][Full Text] [Related]
14. Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video).
Misawa M; Kudo SE; Mori Y; Hotta K; Ohtsuka K; Matsuda T; Saito S; Kudo T; Baba T; Ishida F; Itoh H; Oda M; Mori K
Gastrointest Endosc; 2021 Apr; 93(4):960-967.e3. PubMed ID: 32745531
[TBL] [Abstract][Full Text] [Related]
15. Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video.
Qadir HA; Balasingham I; Solhusvik J; Bergsland J; Aabakken L; Shin Y
IEEE J Biomed Health Inform; 2020 Jan; 24(1):180-193. PubMed ID: 30946683
[TBL] [Abstract][Full Text] [Related]
16. Performance of artificial intelligence for detection of subtle and advanced colorectal neoplasia.
Ahmad OF; González-Bueno Puyal J; Brandao P; Kader R; Abbasi F; Hussein M; Haidry RJ; Toth D; Mountney P; Seward E; Vega R; Stoyanov D; Lovat LB
Dig Endosc; 2022 May; 34(4):862-869. PubMed ID: 34748665
[TBL] [Abstract][Full Text] [Related]
17. Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model.
Byrne MF; Chapados N; Soudan F; Oertel C; Linares Pérez M; Kelly R; Iqbal N; Chandelier F; Rex DK
Gut; 2019 Jan; 68(1):94-100. PubMed ID: 29066576
[TBL] [Abstract][Full Text] [Related]
18. Impact of artificial intelligence on colorectal polyp detection for early-career endoscopists: an international comparative study.
Ainechi D; Misawa M; Barua I; Larsen SLV; Paulsen V; Garborg KK; Aabakken L; Tønnesen CJ; Løberg M; Kalager M; Kudo SE; Hotta K; Ohtsuka K; Saito S; Ikematsu H; Saito Y; Matsuda T; Itoh H; Mori K; Bretthauer M; Mori Y
Scand J Gastroenterol; 2022 Oct; 57(10):1272-1277. PubMed ID: 35605150
[TBL] [Abstract][Full Text] [Related]
19. Impact of endoscopist withdrawal speed on polyp yield: implications for optimal colonoscopy withdrawal time.
Simmons DT; Harewood GC; Baron TH; Petersen BT; Wang KK; Boyd-Enders F; Ott BJ
Aliment Pharmacol Ther; 2006 Sep; 24(6):965-71. PubMed ID: 16948808
[TBL] [Abstract][Full Text] [Related]
20. An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets.
Pacal I; Karaman A; Karaboga D; Akay B; Basturk A; Nalbantoglu U; Coskun S
Comput Biol Med; 2022 Feb; 141():105031. PubMed ID: 34802713
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]