Overview of Deep Learning in Gastrointestinal Endoscopy
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/04/17
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Journal
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Indian UGC (journal)
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Refrences30
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Citations107
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Jun Ki Min Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Korea ORCID (unauthenticated)
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Min Seob Kwak Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Korea ORCID (unauthenticated)
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Jae Myung Cha Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Korea ORCID (unauthenticated)
Cite
Min, Jun Ki, et al. “Overview of Deep Learning in Gastrointestinal Endoscopy”. Gut and Liver, vol. 13, no. 4, 2019, pp. 388-93, https://doi.org/10.5009/gnl18384.
Min, J. K., Kwak, M. S., & Cha, J. M. (2019). Overview of Deep Learning in Gastrointestinal Endoscopy. Gut and Liver, 13(4), 388-393. https://doi.org/10.5009/gnl18384
Min JK, Kwak MS, Cha JM. Overview of Deep Learning in Gastrointestinal Endoscopy. Gut and Liver. 2019;13(4):388-93.
Journal Categories
Medicine
Internal medicine
Specialties of internal medicine
Diseases of the digestive system
Gastroenterology
Medicine
Medicine (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs | Radiology |
| 258 | 2018 |
Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks | Scientific Reports |
| 90 | 2018 |
| Social networks and inference about unknown events: A case of the match between Google’s AlphaGo and Sedol Lee | PLOS ONE |
| 5 | 2017 |
| Deep Learning in Medical Imaging: General Overview | Korean Journal of Radiology |
| 604 | 2017 |
| 10.1109/TMI.2016.2527736 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Deep learning algorithms for classification and detection of recurrent aphthous ulcerations using oral clinical photographic images | Journal of Dental Sciences |
| 1 | 2024 |
| Histoire et perspectives de l’intelligence artificielle | médecine/sciences |
| 2024 | |
A newly developed deep learning-based system for automatic detection and classification of small bowel lesions during double-balloon enteroscopy examination | BMC Gastroenterology |
| 2024 | |
Deep learning-based anatomical position recognition for gastroscopic examination | Technology and Health Care |
| 2024 | |
Fast Object Detection Leveraging Global Feature Fusion in Boundary-Aware Convolutional Networks | Information |
| 2024 |
Citations Analysis
The category
Medicine: Medicine (General) 50
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Barriers to Artificial Intelligence Adoption in Healthcare Management: A Systematic Review and was published in 2019. The most recent citation comes from a 2024 study titled Deep learning-based anatomical position recognition for gastroscopic examination. This article reached its peak citation in 2023, with 27 citations. It has been cited in 79 different journals, 29% of which are open access. Among related journals, the Scientific Reports cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.