Skip Navigation
Skip to contents

Clin Endosc : Clinical Endoscopy

OPEN ACCESS

Author index

Page Path
HOME > Browse articles > Author index
Search
Pyeong An 1 Article
Image Quality Analysis of Various Gastrointestinal Endoscopes: Why Image Quality Is a Prerequisite for Proper Diagnostic and Therapeutic Endoscopy
Weon Jin Ko, Pyeong An, Kwang Hyun Ko, Ki Baik Hahm, Sung Pyo Hong, Joo Young Cho
Clin Endosc 2015;48(5):374-379.   Published online September 30, 2015
DOI: https://doi.org/10.5946/ce.2015.48.5.374
AbstractAbstract PDFPubReaderePub

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.

Citations

Citations to this article as recorded by  
  • Colonoscopy Quality, Innovation, and the Assessment of New Technology
    Sanjay R.V. Gadi, Sriya S. Muralidharan, Jeremy R. Glissen Brown
    Techniques and Innovations in Gastrointestinal Endoscopy.2024; 26(2): 177.     CrossRef
  • Endoscopy image enhancement method by generalized imaging defect models based adversarial training
    Wenjie Li, Jingfan Fan, Yating Li, Pengcheng Hao, Yucong Lin, Tianyu Fu, Danni Ai, Hong Song, Jian Yang
    Physics in Medicine & Biology.2022; 67(9): 095016.     CrossRef
  • Reduced detection rate of artificial intelligence in images obtained from untrained endoscope models and improvement using domain adaptation algorithm
    Junseok Park, Youngbae Hwang, Hyun Gun Kim, Joon Seong Lee, Jin-Oh Kim, Tae Hee Lee, Seong Ran Jeon, Su Jin Hong, Bong Min Ko, Seokmin Kim
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Diagnosis of Early Gastric Cancer Using Image-enhanced Endoscopy
    Weon Jin Ko
    The Korean Journal of Medicine.2017; 92(3): 264.     CrossRef
  • 8,514 View
  • 118 Download
  • 5 Web of Science
  • 4 Crossref
Close layer

Clin Endosc : Clinical Endoscopy Twitter Facebook
Close layer
TOP