WiLD: Widening view angle for lesion detection with gastroscopic images

Soo Yeon Sohn, Dongkyu R. Lee, Suk Kyu Lee, Hwangnam Kim, Yun Suhk Suh, Seong Ho Kong, Hyuk Joon Lee, Han Kwang Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In modern medical service, various medical devices are used. Among these instruments, endoscope is one the most common, and versatile device, which can be used in various situations. Endoscopy is the best screening and diagnostic method allowing physician to examine the patients inner body without causing any harm. However, the narrow view of endoscopic images causes hardship to endoscopists in the procedure of discriminating abnormal from normal tissues. In this paper, we propose a lesion detection gastroscopy system with mosaic image that can assist endoscopist in identifying the lesions. To precisely classify the lesions, we devise a novel classification method named as DSA and visualize the abnormal region clearly to assist endoscopists for lesion detection.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Communications, ICC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479966646
DOIs
Publication statusPublished - 2016 Jul 12
Event2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia
Duration: 2016 May 222016 May 27

Other

Other2016 IEEE International Conference on Communications, ICC 2016
CountryMalaysia
CityKuala Lumpur
Period16/5/2216/5/27

Keywords

  • Computer-aided diagnosis
  • e-health
  • Gastroscopy imaging
  • Lesion detection

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Sohn, S. Y., Lee, D. R., Lee, S. K., Kim, H., Suh, Y. S., Kong, S. H., Lee, H. J., & Yang, H. K. (2016). WiLD: Widening view angle for lesion detection with gastroscopic images. In 2016 IEEE International Conference on Communications, ICC 2016 [7511600] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2016.7511600