Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera
Development of a Gastric Cancer Diagnostic Support System with a Pattern Recognition Method Using a Hyperspectral Camera
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DOI：
10.1155/2016/1803501
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发表时间：
2016-01-01
影响因子：
1.9
通讯作者：
Sakaida, Isao
中科院分区：
文献类型：
--
作者：
Ogihara, Hiroyuki;Hamamoto, Yoshihiko;Sakaida, Isao
如果能在早期发现，胃癌是一种完全可以治愈的癌症。因此，由于胃癌的早期发现很重要，因此通过胃镜检查进行癌症筛查。近年来，能够在多种波长下观察胃癌的高光谱相机（HSC）作为胃镜受到了关注。 HSC 可以辨别胃癌的轻微颜色变化，我们考虑了其在胃癌诊断支持系统中的适用性。本文在校正反射率以吸收HSC反射率的个体差异后，利用校正后的反射率设计了胃癌诊断支持系统。在系统设计中，仅使用训练样本将选择最佳波长和优化分类器截止值的问题作为模式识别问题来解决。采用hold-out法，以104例胃癌为样本，独立重复系统的设计和评估30次。分析 30 项试验的表现后，平均敏感性为 72.2%，平均特异性为 98.8%。结果表明，所提出的系统可有效支持胃癌筛查。
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.