406 related articles for article (PubMed ID: 31810005)
1. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
Wickstrøm K; Kampffmeyer M; Jenssen R
Med Image Anal; 2020 Feb; 60():101619. PubMed ID: 31810005
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network.
Akbari M; Mohrekesh M; Nasr-Esfahani E; Soroushmehr SMR; Karimi N; Samavi S; Najarian K
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():69-72. PubMed ID: 30440343
[TBL] [Abstract][Full Text] [Related]
4. Multi-scale nested UNet with transformer for colorectal polyp segmentation.
Wang Z; Liu Z; Yu J; Gao Y; Liu M
J Appl Clin Med Phys; 2024 Jun; 25(6):e14351. PubMed ID: 38551396
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces.
Bagheri M; Mohrekesh M; Tehrani M; Najarian K; Karimi N; Samavi S; Reza Soroushmehr SM
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6742-6745. PubMed ID: 31947388
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. Dual-branch multi-information aggregation network with transformer and convolution for polyp segmentation.
Zhang W; Lu F; Su H; Hu Y
Comput Biol Med; 2024 Jan; 168():107760. PubMed ID: 38064849
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images.
Song B; Li S; Sunny S; Gurushanth K; Mendonca P; Mukhia N; Patrick S; Peterson T; Gurudath S; Raghavan S; Tsusennaro I; Leivon S; Kolur T; Shetty V; Bushan V; Ramesh R; Pillai V; Wilder-Smith P; Suresh A; Kuriakose MA; Birur P; Liang R
J Biomed Opt; 2022 Nov; 27(11):. PubMed ID: 36329004
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A Deep Learning Model for Classifying Histological Types of Colorectal Polyps.
Panteris V; Kalles D; Verykios VS; Vgenopoulou S; Pierrakou A; Dalainas I; Feretzakis G
Stud Health Technol Inform; 2023 Jun; 305():549-552. PubMed ID: 37387089
[TBL] [Abstract][Full Text] [Related]
17. Deep learning to find colorectal polyps in colonoscopy: A systematic literature review.
Sánchez-Peralta LF; Bote-Curiel L; Picón A; Sánchez-Margallo FM; Pagador JB
Artif Intell Med; 2020 Aug; 108():101923. PubMed ID: 32972656
[TBL] [Abstract][Full Text] [Related]
18. ColoRectalCADx: Expeditious Recognition of Colorectal Cancer with Integrated Convolutional Neural Networks and Visual Explanations Using Mixed Dataset Evidence.
Narasimha Raju AS; Jayavel K; Rajalakshmi T
Comput Math Methods Med; 2022; 2022():8723957. PubMed ID: 36404909
[TBL] [Abstract][Full Text] [Related]
19. SR-AttNet: An Interpretable Stretch-Relax Attention based Deep Neural Network for Polyp Segmentation in Colonoscopy Images.
Alam MJ; Fattah SA
Comput Biol Med; 2023 Jun; 160():106945. PubMed ID: 37163966
[TBL] [Abstract][Full Text] [Related]
20. Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.
Lequan Yu ; Hao Chen ; Qi Dou ; Jing Qin ; Pheng Ann Heng
IEEE J Biomed Health Inform; 2017 Jan; 21(1):65-75. PubMed ID: 28114049
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
