大理大学学报 ›› 2021, Vol. 6 ›› Issue (4): 36-39.

• 基础医学 • 上一篇    下一篇

灰度直方图图像处理技术在胃腺癌病理诊断中的应用

 徐晓燕,毛由冰,范莉芳,张 云   

  1. (1.皖南医学院医学影像学院,安徽芜湖 241002;2.芜湖市中医医院病理科,安徽芜湖 241002)
  • 收稿日期:2019-09-06 修回日期:2020-04-06 出版日期:2021-04-15 发布日期:2021-05-19
  • 作者简介:徐晓燕,实验师,主要从事医学图像处理研究。
  • 基金资助:
    皖南医学院教学质量与教学改革工程项目(2020jyxm43);国家级大学生创新创业训练计划项目(201910368021)

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

 Xu Xiaoyan, Mao Youbing, Fan Lifang, Zhang Yun   

  1. (1. The School of Medical Imaging, Wannan Medical College, Wuhu, Anhui 241002 , China; 2. Department of Pathology,
    Wuhu Hospital of Traditional Chinese Medicine, Wuhu, Anhui 241002, China)
  • Received:2019-09-06 Revised:2020-04-06 Online:2021-04-15 Published:2021-05-19

摘要: [摘要]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。

关键词: [关键词]病理学, 数字化, 灰度直方图, 像素

Abstract: 〔Abstract〕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.

Key words: 〔Key words〕pathology, digital, gray histogram, pixel

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