灰度直方图图像处理技术在胃腺癌病理诊断中的应用

Application of Gray Histogram Image Processing Technology in Pathological Diagnosis of Gastric Adenocarcinoma

目的:运用数字化医学图像处理技术对胃腺癌病理学镜下图像进行定量数据统计分析。方法:收集芜湖市中医医院2019年5月至7月20例胃镜活检病理证实为胃腺癌患者(病例组)、同期门诊胃镜检查正常检查者(对照组)的病理图像,对病理图像灰度化后像素点的区间分布进行对照分析。结果:对照组与病例组病理图像像素点在101~150、151~200、201~255区间分布呈现差异性,差异具有统计学意义(P<0.01)。结论:数字化医学图像处理技术可以通过提取图像信息区分正常与癌变组织,提供更客观的依据支撑胃腺癌诊断结果,并为胃腺癌病理诊断计算机技术预筛提供研究基础。

Objective:To conduct a quantitative statistical analysis of pathological microscopic images of gastric adenocarcinoma under the microscope by the digital medical image processing technology.Methods:The case group consisted of the pathological images of 20 patients with gastric adenocarcinoma confirmed by gastroscopy biopsy from May to July in 2019 in Wuhu Hospital of Chinese Traditional Medicine,and the control group included the outpatients with normal gastroscopy images within the same period.The pathological images of the patients in the two groups were collected.Then the interval distributions of pixel points of gray-scale pathological images were compared and analyzed.Results:the distribution of pathological image pixels in 101-150,151-200 and 201-255 was different between the control group and the case group,and the difference has statistical significance(P<0.01).Conclusion:Digital medical image processing technology can distinguish normal tissues from cancerous tissues,offering more objective basis for the diagnosis of gastric adenocarcinoma and providing a research basis for the computer prescreen of pathological diagnosis of gastric adenocarcinoma.