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[Development and Application of Medical Imaging Analysis Platform Based on Radiomics and Machine Learning
Yonggen Zhao1,2,3, Zhu Zhu1,2,3, Zhuo Yu4
1Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310057.
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.
Conclusions:
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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