Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera
Joint Authors
Fujita, Yusuke
Hamamoto, Yoshihiko
Nishikawa, Jun
Sakaida, Isao
Ogihara, Hiroyuki
Goto, Atsushi
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-15
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Gastric cancer is a completely curable cancer when it can be detected at its early stage.
Thus, because early detection of gastric cancer is important, cancer screening by gastroscopy is performed.
Recently, the hyperspectral camera (HSC), which can observe gastric cancer at a variety of wavelengths, has received attention as a gastroscope.
HSC permits the discerning of the slight color variations of gastric cancer, and we considered its applicability to a gastric cancer diagnostic support system.
In this paper, after correcting reflectance to absorb the individual variations in the reflectance of the HSC, a gastric cancer diagnostic support system was designed using the corrected reflectance.
In system design, the problems of selecting the optimum wavelength and optimizing the cutoff value of a classifier are solved as a pattern recognition problem by the use of training samples alone.
Using the hold-out method with 104 cases of gastric cancer as samples, design and evaluation of the system were independently repeated 30 times.
After analyzing the performance in 30 trials, the mean sensitivity was 72.2% and the mean specificity was 98.8%.
The results showed that the proposed system was effective in supporting gastric cancer screening.
American Psychological Association (APA)
Ogihara, Hiroyuki& Hamamoto, Yoshihiko& Fujita, Yusuke& Goto, Atsushi& Nishikawa, Jun& Sakaida, Isao. 2015. Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera. Journal of Sensors،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1110340
Modern Language Association (MLA)
Ogihara, Hiroyuki…[et al.]. Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera. Journal of Sensors No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1110340
American Medical Association (AMA)
Ogihara, Hiroyuki& Hamamoto, Yoshihiko& Fujita, Yusuke& Goto, Atsushi& Nishikawa, Jun& Sakaida, Isao. Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1110340
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110340