法医数字病理学中的组织立体几何在线分析
- 作者: Nedugiv V.G.1, Zhukova A.V.2, Nedugov G.V.2
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隶属关系:
- Samara State Medical University
- Samara National Research University (Samara University)
- 期: 卷 11, 编号 2 (2025)
- 页面: 145-154
- 栏目: 技术报告
- URL: https://bakhtiniada.ru/2411-8729/article/view/313915
- DOI: https://doi.org/10.17816/fm16256
- EDN: https://elibrary.ru/XJRSVO
- ID: 313915
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论证:法医数字病理学的重要组成部分是对组织学、组织化学和免疫组织化学切片图像的定量分析。然而,商业分析软件获取受限,制约了数字病理学原理及其在俄罗斯法医学鉴定实践中客观组织学诊断方法的推广。本文提出了一种可访问的在线工具,可自动执行组织学和免疫组织化学切片图像及其局部视野图像的组织立体几何分析。
目的:开发一款用于法医数字病理图像组织立体几何分析的在线工具。
方法:本研究开发了一个兼容Windows、Linux、Android和iOS操作系统的在线应用程序,用于在数字图像中识别具有特定颜色特征的微观对象并进行组织立体几何分析。该程序使用JavaScript编写,基于开源库OpenCV实现。
结果:成功开发了名为Color Histostereometry Calculator的在线应用程序,用于在组织学和免疫组织化学切片的光栅图像中确定具有指定颜色特征的微观对象的体积分数和数量。该工具基于 HSV(Hue, Saturation, Value)颜色模型,支持设置颜色参数范围和最小计量区域大小。采用基于颜色特征而非几何形态识别微观对象的策略,可有效排除图像伪影、分割重叠结构,并针对理想无限薄切片评估形态计量指标,从而消除切片厚度对分析结果的影响。
结论:所开发的在线应用程序可推荐用于法医数字病理学中的组织立体几何分析。
作者简介
Vladimir G. Nedugiv
Samara State Medical University
编辑信件的主要联系方式.
Email: nedugovvg@gmail.com
ORCID iD: 0009-0007-7542-7235
SPIN 代码: 2407-7937
俄罗斯联邦, Samara
Anna V. Zhukova
Samara National Research University (Samara University)
Email: anna.zhuk.dreamer@yandex.ru
ORCID iD: 0009-0004-5237-7739
俄罗斯联邦, Samara
German V. Nedugov
Samara National Research University (Samara University)
Email: nedugovh@mail.ru
ORCID iD: 0000-0002-7380-3766
SPIN 代码: 3828-8091
MD, Dr. Sci. (Medicine), Assistant Professor
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