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 language | English |
|---|---|
| Title of host publication | International Conference on Ubiquitous and Future Networks, ICUFN |
| Pages | 395-400 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2013 Dec 1 |
| Event | 5th International Conference on Ubiquitous and Future Networks, ICUFN 2013 - Da Nang, Viet Nam Duration: 2013 Jul 2 → 2013 Jul 5 |
Other
| Other | 5th International Conference on Ubiquitous and Future Networks, ICUFN 2013 |
|---|---|
| Country | Viet Nam |
| City | Da Nang |
| Period | 13/7/2 → 13/7/5 |
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ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
Cite this
Automated methodology for gastric endoscopy in an e-health environment. / Lee, Suk Kyu; Kim, Eugene; Yoo, Seungho; Kim, Hwangnam.
International Conference on Ubiquitous and Future Networks, ICUFN. 2013. p. 395-400 6614849.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Automated methodology for gastric endoscopy in an e-health environment
AU - Lee, Suk Kyu
AU - Kim, Eugene
AU - Yoo, Seungho
AU - Kim, Hwangnam
PY - 2013/12/1
Y1 - 2013/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84891596825&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84891596825&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2013.6614849
DO - 10.1109/ICUFN.2013.6614849
M3 - Conference contribution
AN - SCOPUS:84891596825
SN - 9781467359900
SP - 395
EP - 400
BT - International Conference on Ubiquitous and Future Networks, ICUFN
ER -