Multi-modal medical image data model based medical data extraction and parallel loading method

Abstract

The invention belongs to the technical field of medical information, and particularly relates to a multi-modal medical image data model based medical data extraction and parallel loading method. The method comprises: data preparation; data modeling; data extraction; data loading; and data usage. A multi-modal data model provided by the invention is a unified model of medical image data. A provided multi-modal data model based DICOM extraction and parallel loading technology realizes unified modeling and storage of the medical image data. According to the unified modeling, data extraction and loading technology, the utilization rate of raw data is very high, and relations among different types of data are accurately and completely expressed, thereby expanding medical image data based data mining range and depth. Modeling is performed on data of all modes by adopting a unified model, so that later use and updating of the data have better universality and consistency.

Description

technical field [0001] The invention belongs to the technical field of medical information, and in particular relates to a medical data extraction and parallel loading method based on a multimodal medical image data model. Background technique [0002] How to effectively use medical imaging big data generated by medical institutions to assist doctors in making accurate diagnoses has become a research hotspot in the field of information processing. With the rapid development of medical informatization at home and abroad in recent years, various medical information platforms have generated a large amount of medical imaging data, and with the large-scale popularization and application of data mining technology in various industries, these medical imaging data are also It has become an important application field of data mining. These data contain both structured text information and unstructured image information, and the relationship between different information is complex a...

AI Technical Summary

Problems solved by technology

These data contain both structured text information and unstructured image information, and the relationship between different information is complex and diverse. The multimodal nature of medical image data makes how to process and use it different. For general images, the traditional image semantic processing technology has been difficult to meet the needs of users to use this type of image data. Image databases have high academic value and practical application prospects for the full and effective use of medical image data

[0003] At present, in terms of image semantic processing research at home and abroad, the object-oriented image semantic model is mainly used to model the image, and the different parts of the image are objectified, but the other modal data associated with the image data are unified. Object-based modeling has not yet been implemented

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