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For: Wimmer G, Hegenbart S, Vecsei A, Uhl A. Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease. Computer-Assisted and Robotic Endoscopy 2017. [DOI: 10.1007/978-3-319-54057-3_10] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Number Cited by Other Article(s)
1
Wang Y, Shi T, Gao F, Tian S, Yu L. Celiac disease diagnosis from endoscopic images based on multi-scale adaptive hybrid architecture model. Phys Med Biol 2024;69:075014. [PMID: 38306971 DOI: 10.1088/1361-6560/ad25c1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 02/02/2024] [Indexed: 02/04/2024]
2
Galati JS, Duve RJ, O'Mara M, Gross SA. Artificial intelligence in gastroenterology: A narrative review. Artif Intell Gastroenterol 2022;3:117-141. [DOI: 10.35712/aig.v3.i5.117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/21/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022]  Open
3
Kociołek M, Kozłowski M, Cardone A. A Convolutional Neural Networks-Based Approach for Texture Directionality Detection. SENSORS 2022;22:s22020562. [PMID: 35062522 PMCID: PMC8778371 DOI: 10.3390/s22020562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 01/04/2022] [Accepted: 01/07/2022] [Indexed: 02/04/2023]
4
Ursuleanu TF, Luca AR, Gheorghe L, Grigorovici R, Iancu S, Hlusneac M, Preda C, Grigorovici A. Deep Learning Application for Analyzing of Constituents and Their Correlations in the Interpretations of Medical Images. Diagnostics (Basel) 2021;11:1373. [PMID: 34441307 PMCID: PMC8393354 DOI: 10.3390/diagnostics11081373] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 07/25/2021] [Accepted: 07/27/2021] [Indexed: 12/13/2022]  Open
5
Wang X, Qian H, Ciaccio EJ, Lewis SK, Bhagat G, Green PH, Xu S, Huang L, Gao R, Liu Y. Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2020;187:105236. [PMID: 31786452 DOI: 10.1016/j.cmpb.2019.105236] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 11/14/2019] [Accepted: 11/19/2019] [Indexed: 06/10/2023]
6
Deep Learning for Medical Image Processing: Overview, Challenges and the Future. LECTURE NOTES IN COMPUTATIONAL VISION AND BIOMECHANICS 2018. [DOI: 10.1007/978-3-319-65981-7_12] [Citation(s) in RCA: 239] [Impact Index Per Article: 34.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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