650 related articles for article (PubMed ID: 31251929)
1. Gastroenterologist-Level Identification of Small-Bowel Diseases and Normal Variants by Capsule Endoscopy Using a Deep-Learning Model.
Ding Z; Shi H; Zhang H; Meng L; Fan M; Han C; Zhang K; Ming F; Xie X; Liu H; Liu J; Lin R; Hou X
Gastroenterology; 2019 Oct; 157(4):1044-1054.e5. PubMed ID: 31251929
[TBL] [Abstract][Full Text] [Related]
2. A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.
Leenhardt R; Vasseur P; Li C; Saurin JC; Rahmi G; Cholet F; Becq A; Marteau P; Histace A; Dray X;
Gastrointest Endosc; 2019 Jan; 89(1):189-194. PubMed ID: 30017868
[TBL] [Abstract][Full Text] [Related]
3. Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network.
Mascarenhas Saraiva MJ; Afonso J; Ribeiro T; Ferreira J; Cardoso H; Andrade AP; Parente M; Natal R; Mascarenhas Saraiva M; Macedo G
BMJ Open Gastroenterol; 2021 Sep; 8(1):. PubMed ID: 34580155
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Design of a Convolutional Neural Network as a Deep Learning Tool for the Automatic Classification of Small-Bowel Cleansing in Capsule Endoscopy.
Ribeiro T; Mascarenhas Saraiva MJ; Afonso J; Cardoso P; Mendes F; Martins M; Andrade AP; Cardoso H; Mascarenhas Saraiva M; Ferreira J; Macedo G
Medicina (Kaunas); 2023 Apr; 59(4):. PubMed ID: 37109768
[No Abstract] [Full Text] [Related]
6. Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter study.
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
Gastrointest Endosc; 2021 Jan; 93(1):165-173.e1. PubMed ID: 32417297
[TBL] [Abstract][Full Text] [Related]
7. Small bowel capsule endoscopy: May we delegate it to nurses?
Dreanic J; Barret M; Dhooge M; Gaudric M; Leblanc S; Abitbol V; Prat F; Chaussade S; Coriat R
Clin Res Hepatol Gastroenterol; 2018 Apr; 42(2):168-173. PubMed ID: 29239850
[TBL] [Abstract][Full Text] [Related]
8. Virtual chromoendoscopy can be a useful software tool in capsule endoscopy.
Duque G; Almeida N; Figueiredo P; Monsanto P; Lopes S; Freire P; Ferreira M; Carvalho R; Gouveia H; Sofia C
Rev Esp Enferm Dig; 2012 May; 104(5):231-6. PubMed ID: 22662774
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. High concordance between trained nurses and gastroenterologists in evaluating recordings of small bowel video capsule endoscopy (VCE).
Guarini A; De Marinis F; Hassan C; Manta R; De Francesco V; Annibale B; Zullo A
J Gastrointestin Liver Dis; 2018 Jun; 27(2):271. PubMed ID: 29922756
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Artificial intelligence and capsule endoscopy: automatic detection of enteric protruding lesions using a convolutional neural network.
Mascarenhas Saraiva M; Afonso J; Ribeiro T; Ferreira J; Cardoso H; Andrade P; Gonçalves R; Cardoso P; Parente M; Jorge R; Macedo G
Rev Esp Enferm Dig; 2023 Feb; 115(2):75-79. PubMed ID: 34517717
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.
Tsuboi A; Oka S; Aoyama K; Saito H; Aoki T; Yamada A; Matsuda T; Fujishiro M; Ishihara S; Nakahori M; Koike K; Tanaka S; Tada T
Dig Endosc; 2020 Mar; 32(3):382-390. PubMed ID: 31392767
[TBL] [Abstract][Full Text] [Related]
14. Clinical usefulness of a deep learning-based system as the first screening on small-bowel capsule endoscopy reading.
Aoki T; Yamada A; Aoyama K; Saito H; Fujisawa G; Odawara N; Kondo R; Tsuboi A; Ishibashi R; Nakada A; Niikura R; Fujishiro M; Oka S; Ishihara S; Matsuda T; Nakahori M; Tanaka S; Koike K; Tada T
Dig Endosc; 2020 May; 32(4):585-591. PubMed ID: 31441972
[TBL] [Abstract][Full Text] [Related]
15. Comparison of clinical utility of deep learning-based systems for small-bowel capsule endoscopy reading.
Aoki T; Yamada A; Oka S; Tsuboi M; Kurokawa K; Togo D; Tanino F; Teshima H; Saito H; Suzuki R; Arai J; Abe S; Kondo R; Yamashita A; Tsuboi A; Nakada A; Niikura R; Tsuji Y; Hayakawa Y; Matsuda T; Nakahori M; Tanaka S; Kato Y; Tada T; Fujishiro M
J Gastroenterol Hepatol; 2024 Jan; 39(1):157-164. PubMed ID: 37830487
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Deep learning algorithms for automated detection of Crohn's disease ulcers by video capsule endoscopy.
Klang E; Barash Y; Margalit RY; Soffer S; Shimon O; Albshesh A; Ben-Horin S; Amitai MM; Eliakim R; Kopylov U
Gastrointest Endosc; 2020 Mar; 91(3):606-613.e2. PubMed ID: 31743689
[TBL] [Abstract][Full Text] [Related]
18. Ulcer severity grading in video capsule images of patients with Crohn's disease: an ordinal neural network solution.
Barash Y; Azaria L; Soffer S; Margalit Yehuda R; Shlomi O; Ben-Horin S; Eliakim R; Klang E; Kopylov U
Gastrointest Endosc; 2021 Jan; 93(1):187-192. PubMed ID: 32535191
[TBL] [Abstract][Full Text] [Related]
19. Disease surveillance evaluation of primary small-bowel follicular lymphoma using capsule endoscopy images based on a deep convolutional neural network (with video).
Sumioka A; Tsuboi A; Oka S; Kato Y; Matsubara Y; Hirata I; Takigawa H; Yuge R; Shimamoto F; Tada T; Tanaka S
Gastrointest Endosc; 2023 Dec; 98(6):968-976.e3. PubMed ID: 37482106
[TBL] [Abstract][Full Text] [Related]
20. Development and Validation of an Artificial Intelligence Model for Small Bowel Capsule Endoscopy Video Review.
Xie X; Xiao YF; Zhao XY; Li JJ; Yang QQ; Peng X; Nie XB; Zhou JY; Zhao YB; Yang H; Liu X; Liu E; Chen YY; Zhou YY; Fan CQ; Bai JY; Lin H; Koulaouzidis A; Yang SM
JAMA Netw Open; 2022 Jul; 5(7):e2221992. PubMed ID: 35834249
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
