312 related articles for article (PubMed ID: 31645019)
1. A systematic evaluation and optimization of automatic detection of ulcers in wireless capsule endoscopy on a large dataset using deep convolutional neural networks.
Wang S; Xing Y; Zhang L; Gao H; Zhang H
Phys Med Biol; 2019 Dec; 64(23):235014. PubMed ID: 31645019
[TBL] [Abstract][Full Text] [Related]
2. Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization.
Wang S; Xing Y; Zhang L; Gao H; Zhang H
Comput Math Methods Med; 2019; 2019():7546215. PubMed ID: 31641370
[TBL] [Abstract][Full Text] [Related]
3. Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.
Alaskar H; Hussain A; Al-Aseem N; Liatsis P; Al-Jumeily D
Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30871162
[TBL] [Abstract][Full Text] [Related]
4. Computer-aided detection of small intestinal ulcer and erosion in wireless capsule endoscopy images.
Fan S; Xu L; Fan Y; Wei K; Li L
Phys Med Biol; 2018 Aug; 63(16):165001. PubMed ID: 30033931
[TBL] [Abstract][Full Text] [Related]
5. A deep convolutional neural network for bleeding detection in Wireless Capsule Endoscopy images.
Xiao Jia ; Meng MQ
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():639-642. PubMed ID: 28268409
[TBL] [Abstract][Full Text] [Related]
6. Wireless capsule endoscopy multiclass classification using three-dimensional deep convolutional neural network model.
Bordbar M; Helfroush MS; Danyali H; Ejtehadi F
Biomed Eng Online; 2023 Dec; 22(1):124. PubMed ID: 38098015
[TBL] [Abstract][Full Text] [Related]
7. A survey on contemporary computer-aided tumor, polyp, and ulcer detection methods in wireless capsule endoscopy imaging.
Rahim T; Usman MA; Shin SY
Comput Med Imaging Graph; 2020 Oct; 85():101767. PubMed ID: 32966967
[TBL] [Abstract][Full Text] [Related]
8. Saliency based ulcer detection for wireless capsule endoscopy diagnosis.
Yuan Y; Wang J; Li B; Meng MQ
IEEE Trans Med Imaging; 2015 Oct; 34(10):2046-57. PubMed ID: 25850085
[TBL] [Abstract][Full Text] [Related]
9. High pooled performance of convolutional neural networks in computer-aided diagnosis of GI ulcers and/or hemorrhage on wireless capsule endoscopy images: a systematic review and meta-analysis.
Mohan BP; Khan SR; Kassab LL; Ponnada S; Chandan S; Ali T; Dulai PS; Adler DG; Kochhar GS
Gastrointest Endosc; 2021 Feb; 93(2):356-364.e4. PubMed ID: 32721487
[TBL] [Abstract][Full Text] [Related]
10. Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network.
Aoki T; Yamada A; Aoyama K; Saito H; Tsuboi A; Nakada A; Niikura R; Fujishiro M; Oka S; Ishihara S; Matsuda T; Tanaka S; Koike K; Tada T
Gastrointest Endosc; 2019 Feb; 89(2):357-363.e2. PubMed ID: 30670179
[TBL] [Abstract][Full Text] [Related]
11. Deep learning for registration of region of interest in consecutive wireless capsule endoscopy frames.
Liao C; Wang C; Bai J; Lan L; Wu X
Comput Methods Programs Biomed; 2021 Sep; 208():106189. PubMed ID: 34102560
[TBL] [Abstract][Full Text] [Related]
12. Automated detection of ulcers and erosions in capsule endoscopy images using a convolutional neural network.
Afonso J; Saraiva MM; Ferreira JPS; Cardoso H; Ribeiro T; Andrade P; Parente M; Jorge RN; Macedo G
Med Biol Eng Comput; 2022 Mar; 60(3):719-725. PubMed ID: 35038118
[TBL] [Abstract][Full Text] [Related]
13. Automatic detection of informative frames from wireless capsule endoscopy images.
Bashar MK; Kitasaka T; Suenaga Y; Mekada Y; Mori K
Med Image Anal; 2010 Jun; 14(3):449-70. PubMed ID: 20137998
[TBL] [Abstract][Full Text] [Related]
14. Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video.
Ghosh T; Fattah SA; Wahid KA; Zhu WP; Ahmad MO
Comput Biol Med; 2018 Mar; 94():41-54. PubMed ID: 29407997
[TBL] [Abstract][Full Text] [Related]
15. Bleeding detection in wireless capsule endoscopy videos - Color versus texture features.
Pogorelov K; Suman S; Azmadi Hussin F; Saeed Malik A; Ostroukhova O; Riegler M; Halvorsen P; Hooi Ho S; Goh KL
J Appl Clin Med Phys; 2019 Aug; 20(8):141-154. PubMed ID: 31251460
[TBL] [Abstract][Full Text] [Related]
16. Colored Video Analysis in Wireless Capsule Endoscopy: A Survey of State-of-the-Art.
Ashour AS; Dey N; Mohamed WS; Tromp JG; Sherratt RS; Shi F; Moraru L
Curr Med Imaging; 2020; 16(9):1074-1084. PubMed ID: 32107996
[TBL] [Abstract][Full Text] [Related]
17. Computer-aided gastrointestinal hemorrhage detection in wireless capsule endoscopy videos.
Hassan AR; Haque MA
Comput Methods Programs Biomed; 2015 Dec; 122(3):341-53. PubMed ID: 26390947
[TBL] [Abstract][Full Text] [Related]
18. Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier.
Xing X; Jia X; Meng MQ
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1-4. PubMed ID: 30440286
[TBL] [Abstract][Full Text] [Related]
19. A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images.
Jain S; Seal A; Ojha A; Yazidi A; Bures J; Tacheci I; Krejcar O
Comput Biol Med; 2021 Oct; 137():104789. PubMed ID: 34455302
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning and Minimally Invasive Endoscopy: Automatic Classification of Pleomorphic Gastric Lesions in Capsule Endoscopy.
Mascarenhas M; Mendes F; Ribeiro T; Afonso J; Cardoso P; Martins M; Cardoso H; Andrade P; Ferreira J; Mascarenhas Saraiva M; Macedo G
Clin Transl Gastroenterol; 2023 Oct; 14(10):e00609. PubMed ID: 37404050
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
