307 related articles for article (PubMed ID: 33984661)
1. 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]
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. Automated polyp segmentation for colonoscopy images: A method based on convolutional neural networks and ensemble learning.
Guo X; Zhang N; Guo J; Zhang H; Hao Y; Hang J
Med Phys; 2019 Dec; 46(12):5666-5676. PubMed ID: 31610020
[TBL] [Abstract][Full Text] [Related]
4. Automatic Polyp Segmentation in Colonoscopy Images Using a Modified Deep Convolutional Encoder-Decoder Architecture.
Eu CY; Tang TB; Lin CH; Lee LH; Lu CK
Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34451072
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation.
Jha D; Smedsrud PH; Johansen D; de Lange T; Johansen HD; Halvorsen P; Riegler MA
IEEE J Biomed Health Inform; 2021 Jun; 25(6):2029-2040. PubMed ID: 33400658
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A CAD of fully automated colonic polyp detection for contrasted and non-contrasted CT scans.
Tulum G; Bolat B; Osman O
Int J Comput Assist Radiol Surg; 2017 Apr; 12(4):627-644. PubMed ID: 28101760
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis.
Chen PJ; Lin MC; Lai MJ; Lin JC; Lu HH; Tseng VS
Gastroenterology; 2018 Feb; 154(3):568-575. PubMed ID: 29042219
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A robust real-time deep learning based automatic polyp detection system.
Pacal I; Karaboga D
Comput Biol Med; 2021 Jul; 134():104519. PubMed ID: 34090014
[TBL] [Abstract][Full Text] [Related]
16. Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray.
Kobayashi M; Ishioka J; Matsuoka Y; Fukuda Y; Kohno Y; Kawano K; Morimoto S; Muta R; Fujiwara M; Kawamura N; Okuno T; Yoshida S; Yokoyama M; Suda R; Saiki R; Suzuki K; Kumazawa I; Fujii Y
BMC Urol; 2021 Aug; 21(1):102. PubMed ID: 34353306
[TBL] [Abstract][Full Text] [Related]
17. Detection and Classification of Colorectal Polyp Using Deep Learning.
Tanwar S; Vijayalakshmi S; Sabharwal M; Kaur M; AlZubi AA; Lee HN
Biomed Res Int; 2022; 2022():2805607. PubMed ID: 35463989
[TBL] [Abstract][Full Text] [Related]
18. Challenges Facing the Detection of Colonic Polyps: What Can Deep Learning Do?
Azer SA
Medicina (Kaunas); 2019 Aug; 55(8):. PubMed ID: 31409050
[TBL] [Abstract][Full Text] [Related]
19. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
[TBL] [Abstract][Full Text] [Related]
20. [Application of artificial intelligence for detection and classification of colon polyps].
Wang X; Huang J; Ji X; Zhu Z
Nan Fang Yi Ke Da Xue Xue Bao; 2021 Feb; 41(2):310-313. PubMed ID: 33624608
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]