基于影像组学和机器学习的医学影像分析平台的研究与应用

      Development and Application of Medical Imaging Analysis Platform Based on Radiomics and Machine Learning Technologies

      • 摘要: 目的 为解决临床研究人员在医学影像分析中数据标注、特征提取、算法选型等诸多技术难题,设计并构建了基于影像组学与机器学习技术的医学影像分析平台。方法 平台从数据获取、数据治理、数据分析、数据建模、数据管理等5个层面出发,提供了数据获取和标注、影像特征提取与特征降维、机器学习模型运行、结果验证、可视化分析以及自动生成报告等多项功能,生成了影像组学全流程分析的一体化解决方案。结果 临床研究人员可应用该平台对医学影像数据进行影像组学与机器学习的全流程分析,快速产出研究成果。结论 平台极大地缩短了医学影像分析的研究时间,降低了临床研究人员的工作难度,显著提升了工作效率。

         

        Abstract: Objective In order to solve the technical problems, clinical researchers face the process of medical imaging analysis such as data labeling, feature extraction and algorithm selection, a medical imaging oriented multi-disease research platform based on radiomics and machine learning technology was designed and constructed. Methods Five aspects including data acquisition, data management, data analysis, modeling and data management were considered. This platform provides comprehensive functions such as data retrieve and data annotation, image feature extraction and dimension reduction, machine learning model running, results validation, visual analysis and automatic generation of analysis reports, thus an integrated solution for the whole process of radiomics analysis has been generated. Results Clinical researchers can use this platform for the whole process of radiomics and machine learning analysis for medical images, and quickly produce research results. Conclusion This platform greatly shortens the time for medical image analysis research, decreasing the work difficulty of clinical researchers, as well as significantly promoting their working efficiency.

         

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