Automated methodology for gastric endoscopy in an e-health environment

Suk Kyu Lee, Eugene Kim, Seungho Yoo, Hwangnam Kim

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

1 Citation (Scopus)

Abstract

With the increased stomach cancer patients in recent decade, endoscopy became one of the major examination tools for diagnosis. In conventional endoscopy, physicians are required to stay through the whole examination, which leads to an increased burden for both physicians and patients. Based on this observation, we introduce an automated gastric endoscopy by utilizing conventional endoscopes with object recognition algorithms. We then propose a cancer diagnosis system which can work in cooperation with any e-health system. In the e-health environment, the proposed system can pre-determine whether the patient has cancer or not. Based on the pre-determined result, the physicians are requested to conduct more accurate diagnosis on the existence of the cancer. In addition, it can automatically save its decision in the e-health system, which enables physicians and patients to access the record later.

Original languageEnglish
Title of host publicationICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks
Pages395-400
Number of pages6
DOIs
Publication statusPublished - 2013
Event5th International Conference on Ubiquitous and Future Networks, ICUFN 2013 - Da Nang, Viet Nam
Duration: 2013 Jul 22013 Jul 5

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Other

Other5th International Conference on Ubiquitous and Future Networks, ICUFN 2013
CountryViet Nam
CityDa Nang
Period13/7/213/7/5

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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  • Cite this

    Lee, S. K., Kim, E., Yoo, S., & Kim, H. (2013). Automated methodology for gastric endoscopy in an e-health environment. In ICUFN 2013 - 5th International Conference on Ubiquitous and Future Networks (pp. 395-400). [6614849] (International Conference on Ubiquitous and Future Networks, ICUFN). https://doi.org/10.1109/ICUFN.2013.6614849