249 related articles for article (PubMed ID: 31105338)
1. Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker.
Zhang R; Zheng Y; Poon CCY; Shen D; Lau JYW
Pattern Recognit; 2018 Nov; 83():209-219. PubMed ID: 31105338
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain.
Zhang R; Zheng Y; Mak TW; Yu R; Wong SH; Lau JY; Poon CC
IEEE J Biomed Health Inform; 2017 Jan; 21(1):41-47. PubMed ID: 28114040
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Localisation of Colorectal Polyps by Convolutional Neural Network Features Learnt from White Light and Narrow Band Endoscopic Images of Multiple Databases.
Zheng Y; Zhang R; Yu R; Jiang Y; Mak TWC; Wong SH; Lau JYW; Poon CCY
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():4142-4145. PubMed ID: 30441267
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Polyp detection on video colonoscopy using a hybrid 2D/3D CNN.
González-Bueno Puyal J; Brandao P; Ahmad OF; Bhatia KK; Toth D; Kader R; Lovat L; Mountney P; Stoyanov D
Med Image Anal; 2022 Nov; 82():102625. PubMed ID: 36209637
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation.
Itoh H; Misawa M; Mori Y; Kudo SE; Oda M; Mori K
Int J Comput Assist Radiol Surg; 2022 Nov; 17(11):2051-2063. PubMed ID: 35939251
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network.
Tomar NK; Srivastava A; Bagci U; Jha D
Proc IEEE Int Symp Comput Based Med Syst; 2022 Jul; 2022():317-322. PubMed ID: 36777398
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
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. Gastrointestinal polyp detection in endoscopic images using an improved feature extraction method.
Billah M; Waheed S
Biomed Eng Lett; 2018 Feb; 8(1):69-75. PubMed ID: 30603191
[TBL] [Abstract][Full Text] [Related]
17. Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.
Younghak Shin ; Balasingham I
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3277-3280. PubMed ID: 29060597
[TBL] [Abstract][Full Text] [Related]
18. Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection.
Gan T; Jin Z; Yu L; Liang X; Zhang H; Ye X
Sci Rep; 2023 Dec; 13(1):21655. PubMed ID: 38066207
[TBL] [Abstract][Full Text] [Related]
19. Training a computer-aided polyp detection system to detect sessile serrated adenomas using public domain colonoscopy videos.
Li T; Glissen Brown JR; Tsourides K; Mahmud N; Cohen JM; Berzin TM
Endosc Int Open; 2020 Oct; 8(10):E1448-E1454. PubMed ID: 33043112
[No Abstract] [Full Text] [Related]
20. Classification of Informative Frames in Colonoscopy Videos Using Convolutional Neural Networks with Binarized Weights.
Akbari M; Mohrekesh M; Rafiei S; Reza Soroushmehr SM; Karimi N; Samavi S; Najarian K
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():65-68. PubMed ID: 30440342
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]