Reviews
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Recent Development of Computer Vision Technology to Improve Capsule Endoscopy
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Junseok Park, Youngbae Hwang, Ju-Hong Yoon, Min-Gyu Park, Jungho Kim, Yun Jeong Lim, Hoon Jai Chun
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Clin Endosc 2019;52(4):328-333. Published online February 21, 2019
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DOI: https://doi.org/10.5946/ce.2018.172
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Abstract
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- Capsule endoscopy (CE) is a preferred diagnostic method for analyzing small bowel diseases. However, capsule endoscopes capture a sparse number of images because of their mechanical limitations. Post-procedural management using computational methods can enhance image quality. Additional information, including depth, can be obtained by using recently developed computer vision techniques. It is possible to measure the size of lesions and track the trajectory of capsule endoscopes using the computer vision technology, without requiring additional equipment. Moreover, the computational analysis of CE images can help detect lesions more accurately within a shorter time. Newly introduced deep leaning-based methods have shown more remarkable results over traditional computerized approaches. A large-scale standard dataset should be prepared to develop an optimal algorithms for improving the diagnostic yield of CE. The close collaboration between information technology and medical professionals is needed.
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Citations
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Sofia A. Athanasiou, Eleftheria S. Sergaki, Andreas A. Polydorou, Alexios A. Polydorou, George S. Stavrakakis, Nikolaos M. Afentakis, Ioannis O. Vardiambasis, Michail E. Zervakis
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Scientific Reports.2021;[Epub] CrossRef - Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading
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PLOS ONE.2020; 15(10): e0241474. CrossRef - EndoL2H: Deep Super-Resolution for Capsule Endoscopy
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IEEE Transactions on Medical Imaging.2020; 39(12): 4297. CrossRef
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Image Quality Analysis of Various Gastrointestinal Endoscopes: Why Image Quality Is a Prerequisite for Proper Diagnostic and Therapeutic Endoscopy
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Weon Jin Ko, Pyeong An, Kwang Hyun Ko, Ki Baik Hahm, Sung Pyo Hong, Joo Young Cho
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Clin Endosc 2015;48(5):374-379. Published online September 30, 2015
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DOI: https://doi.org/10.5946/ce.2015.48.5.374
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Abstract
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Arising from human curiosity in terms of the desire to look within the human body, endoscopy has undergone significant advances in modern medicine. Direct visualization of the gastrointestinal (GI) tract by traditional endoscopy was first introduced over 50 years ago, after which fairly rapid advancement from rigid esophagogastric scopes to flexible scopes and high definition videoscopes has occurred. In an effort towards early detection of precancerous lesions in the GI tract, several high-technology imaging scopes have been developed, including narrow band imaging, autofocus imaging, magnified endoscopy, and confocal microendoscopy. However, these modern developments have resulted in fundamental imaging technology being skewed towards red-green-blue and this technology has obscured the advantages of other endoscope techniques. In this review article, we have described the importance of image quality analysis using a survey to consider the diversity of endoscope system selection in order to better achieve diagnostic and therapeutic goals. The ultimate aims can be achieved through the adoption of modern endoscopy systems that obtain high image quality.
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Frontiers in Medicine.2022;[Epub] CrossRef - Diagnosis of Early Gastric Cancer Using Image-enhanced Endoscopy
Weon Jin Ko
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Focused Review Series: Endoscopic and Molecular Imaging of Premalignant GI Lesions, Part I
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Endoscopic Molecular Imaging: Status and Future Perspective
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Naoki Muguruma, Hiroshi Miyamoto, Toshiya Okahisa, Tetsuji Takayama
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Clin Endosc 2013;46(6):603-610. Published online November 19, 2013
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DOI: https://doi.org/10.5946/ce.2013.46.6.603
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Abstract
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During the last decade, researchers have made great progress in the development of new image processing technologies for gastrointestinal endoscopy. However, diagnosis using conventional endoscopy with white light optical imaging is essentially limited, and ultimately, we still rely on the histopathological diagnosis from biopsy specimens. Molecular imaging represents the most novel imaging methods in medicine, and the future of endoscopic diagnosis is likely to be impacted by a combination of biomarkers and technology. Endoscopic molecular imaging can be defined as the visualization of molecular characteristics with endoscopy. These innovations will allow us not only to locate a tumor or dysplastic lesion but also to visualize its molecular characteristics and the activity of specific molecules and biological processes that affect tumor behavior and/or its response to therapy. In the near future, these promising technologies will play a central role in endoluminal oncology.
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