1613 related articles for article (PubMed ID: 31641370)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
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. 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]
8. Generic feature learning for wireless capsule endoscopy analysis.
Seguí S; Drozdzal M; Pascual G; Radeva P; Malagelada C; Azpiroz F; Vitrià J
Comput Biol Med; 2016 Dec; 79():163-172. PubMed ID: 27810622
[TBL] [Abstract][Full Text] [Related]
9. Stomach Deformities Recognition Using Rank-Based Deep Features Selection.
Khan MA; Sharif M; Akram T; Yasmin M; Nayak RS
J Med Syst; 2019 Nov; 43(12):329. PubMed ID: 31676931
[TBL] [Abstract][Full Text] [Related]
10. Deep learning for polyp recognition in wireless capsule endoscopy images.
Yuan Y; Meng MQ
Med Phys; 2017 Apr; 44(4):1379-1389. PubMed ID: 28160514
[TBL] [Abstract][Full Text] [Related]
11. Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.
Aoki T; Yamada A; Kato Y; Saito H; Tsuboi A; Nakada A; Niikura R; Fujishiro M; Oka S; Ishihara S; Matsuda T; Nakahori M; Tanaka S; Koike K; Tada T
J Gastroenterol Hepatol; 2020 Jul; 35(7):1196-1200. PubMed ID: 31758717
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network.
Saito H; Aoki T; Aoyama K; Kato Y; Tsuboi A; Yamada A; Fujishiro M; Oka S; Ishihara S; Matsuda T; Nakahori M; Tanaka S; Koike K; Tada T
Gastrointest Endosc; 2020 Jul; 92(1):144-151.e1. PubMed ID: 32084410
[TBL] [Abstract][Full Text] [Related]
15. Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning.
He JY; Wu X; Jiang YG; Peng Q; Jain R
IEEE Trans Image Process; 2018 May; 27(5):2379-2392. PubMed ID: 29470172
[TBL] [Abstract][Full Text] [Related]
16. Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model.
Yogapriya J; Chandran V; Sumithra MG; Anitha P; Jenopaul P; Suresh Gnana Dhas C
Comput Math Methods Med; 2021; 2021():5940433. PubMed ID: 34545292
[TBL] [Abstract][Full Text] [Related]
17. Transfer learning for informative-frame selection in laryngoscopic videos through learned features.
Patrini I; Ruperti M; Moccia S; Mattos LS; Frontoni E; De Momi E
Med Biol Eng Comput; 2020 Jun; 58(6):1225-1238. PubMed ID: 32212052
[TBL] [Abstract][Full Text] [Related]
18. Bleeding detection in wireless capsule endoscopy images based on color invariants and spatial pyramids using support vector machines.
Lv G; Yan G; Wang Z
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():6643-6. PubMed ID: 22255862
[TBL] [Abstract][Full Text] [Related]
19. Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network.
Cho BJ; Bang CS; Park SW; Yang YJ; Seo SI; Lim H; Shin WG; Hong JT; Yoo YT; Hong SH; Choi JH; Lee JJ; Baik GH
Endoscopy; 2019 Dec; 51(12):1121-1129. PubMed ID: 31443108
[TBL] [Abstract][Full Text] [Related]
20. Low Complexity CNN Structure for Automatic Bleeding Zone Detection in Wireless Capsule Endoscopy Imaging.
Hajabdollahi M; Esfandiarpoor R; Najarian K; Karimi N; Samavi S; Reza Soroushmehr SM
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():7227-7230. PubMed ID: 31947501
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
