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Data extraction method and device based on image recognition, equipment and storage medium

A technology of image recognition and data extraction, applied in neural learning methods, electrical digital data processing, character and pattern recognition, etc., can solve the problems of low efficiency and high error rate of medical contract verification, improve verification efficiency and accuracy, reduce The effect of small amount of calculation and improved versatility

Pending Publication Date: 2021-11-26
深圳平安医疗健康科技服务有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main purpose of this application is to provide a data extraction method, device, medium and equipment based on image recognition, aiming to solve the technical problems of low verification efficiency and high error rate of medical contracts in the prior art

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  • Data extraction method and device based on image recognition, equipment and storage medium
  • Data extraction method and device based on image recognition, equipment and storage medium
  • Data extraction method and device based on image recognition, equipment and storage medium

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Embodiment Construction

[0045] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0046] refer to figure 1 , in order to achieve the above-mentioned purpose of the invention, the application proposes a data extraction method based on image recognition, the method comprising:

[0047] S1: Acquire a target picture, perform image recognition on the target picture, and extract several target text segments in the target picture according to the paragraph format;

[0048] S2: Perform semantic recognition on the target text segment through the ALBERT recognition model, and obtain a semantic recognition result;

[0049] S3: Label the target text segment accor...

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Abstract

The invention relates to the technical field of artificial intelligence and digital medical treatment, and discloses a data extraction method and device based on image recognition, a medium and equipment, and the method comprises the steps od obtaining a target picture, carrying out the image recognition of the target picture, and extracting a plurality of target text segments in the target picture according to a paragraph format; performing semantic recognition on the target text segment through an ALBERT recognition model to obtain a semantic recognition result; labeling the target text segment according to the semantic recognition result to obtain first labeling information corresponding to the target text segment; obtaining a first standard template, establishing a corresponding relationship between the first standard template and the first annotation information according to a preset rule, and filling the target text segment into a text filling position of the first standard template according to the corresponding relationship. Structured arrangement of the data is realized, so that the medical contract checking efficiency is improved, and the error rate in the checking process is reduced.

Description

technical field [0001] This application relates to the field of artificial intelligence and digital medical technology, in particular to a data extraction method, device, medium and equipment based on image recognition. Background technique [0002] The start of a medical project is usually based on the common goals of the hospital and the pharmaceutical company. Therefore, at the beginning of the medical project, it is necessary to agree on the subject, time, method, scope and application scenarios of medical data authorization. Due to the wide variety of medical project scenarios and the lack of standardized specifications on the market, these contents are usually agreed upon by the participants through agreements or contracts. [0003] However, contracts agreed upon by themselves usually have different formats. Medical data managers need to check and decompose these lengthy and complicated contract contents through manual proofreading, and maintain them in the data asset ...

Claims

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Application Information

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IPC IPC(8): G06K9/20G06K9/34G06K9/46G06K9/62G06F40/295G06F40/30G06N3/04G06N3/08
CPCG06F40/30G06F40/295G06N3/08G06N3/045G06F18/22
Inventor 彭采薇杨栋
Owner 深圳平安医疗健康科技服务有限公司
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