Analytical methods and systems that integrate annotation, data, project management, and non-programmatic modeling

A data processing and data technology, applied in medical simulation, medical automated diagnosis, computer-aided medical procedures, etc., can solve the problems of reducing research efficiency, data management difficulties, and occupying researchers' time, so as to reduce labeling errors and improve experimental efficiency , the effect of improving the labeling efficiency
CN112331348BActive Publication Date: 2021-06-25浙江医准智能科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
浙江医准智能科技有限公司
Publication Date
2021-06-25

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Abstract

The present invention proposes a medical imaging scientific research platform system integrating data collection-data labeling-feature extraction-data analysis and model building-model evaluation and prediction. The system has the advantages of flexible configuration, reducing labeling errors, and improving labeling efficiency. At the same time, it is suitable for those who lack engineering experience to use clinical data to realize experimental analysis.
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Description

technical field

[0001] The present invention relates to an information processing device and method, in particular to an analysis method and system for integrating labeling, data, project management and non-programming modeling. Background technique

[0002] The way of medical research is changing. On the one hand, the rapid growth of medical data provides a lot of material for research; on the other hand, doctors devote a lot of time and energy to work and research. As a result, artificial intelligence entered medical research, and doctors discovered clinical needs. By cooperating with artificial intelligence companies, they jointly carried out data processing and analysis to establish models, and quickly produced scientific research results. However, this cooperation method has certain limitations due to factors such as explosive growth in demand, high communication costs, and low efficiency. If doctors can independently apply artificial intelligence to conduct clinical r...

Claims

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