• DOI:10.1007/s11042-016-4219-z
Corpus ID: 21604950

Content-based processing and analysis of endoscopic images and videos: A survey

@article{Mnzer2016ContentbasedPA,
  title={Content-based processing and analysis of endoscopic images and videos: A survey},
  author={Bernd M{\"u}nzer and K. Sch{\"o}ffmann and L. B{\"o}sz{\"o}rm{\'e}nyi},
  journal={Multimedia Tools and Applications},
  year={2016},
  volume={77},
  pages={1323-1362}
}

Bernd Münzer, K. Schöffmann, L. Böszörményi

Published 2016

Computer Science

Multimedia Tools and Applications

In recent years, digital endoscopy has established as key technology for medical screenings and minimally invasive surgery. Since then, various research communities with manifold backgrounds have picked up on the idea of processing and automatically analyzing the inherently available video signal that is produced by the endoscopic camera. Proposed works mainly include image processing techniques, pattern recognition, machine learning methods and Computer Vision algorithms. While most… CONTINUE READING

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