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Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera
المؤلفون المشاركون
Fujita, Yusuke
Hamamoto, Yoshihiko
Nishikawa, Jun
Sakaida, Isao
Ogihara, Hiroyuki
Goto, Atsushi
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-11-15
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1110340
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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