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Medical examination report character recognition and correction method

A text recognition and report form technology, applied in the field of text recognition, can solve the problems of high text recognition error rate, table text recognition APP cannot locate text boxes, etc., to achieve accurate text recognition effect and ensure the effect of correct rate

Pending Publication Date: 2020-05-01
中电健康云科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing form text recognition app cannot locate all the text boxes and the text recognition error rate is extremely high, the present invention provides a text recognition and correction method for medical examination reports

Method used

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  • Medical examination report character recognition and correction method
  • Medical examination report character recognition and correction method
  • Medical examination report character recognition and correction method

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Experimental program
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Embodiment 1

[0044] This embodiment provides a text recognition and correction method for a medical examination report, including:

[0045] S1: Shoot the medical examination report, perform content extraction and perspective transformation on it, and obtain the image of the medical examination report, specifically:

[0046] Take photos of the original medical examination report with various background information, mark the content area of ​​the original medical examination report photo as 1, and mark the background area as 0, and use DeepLab-V3Plus+CRF technology to train the semantic segmentation neural network, so that the semantic segmentation The neural network can accurately extract the content area of ​​the photo of the original medical examination report, use the semantic segmentation neural network to segment the content area of ​​the original medical examination report, and perform perspective transformation through the position information of the segmented content area to correct ...

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Abstract

The invention discloses a medical examination report character recognition and correction method, and relates to the technical field of character recognition, and the method comprises the steps: carrying out text detection of a medical examination report image, and obtaining a plurality of first textboxes; deleting the first textboxes which do not meet the preset aspect ratio condition, and combining the remaining first textboxes to obtain a plurality of second textboxes; combining the two second textboxes meeting the preset transverse distance according to columns to obtain a plurality of column textboxes; judging the row number and the column number of the second textboxes; performing screenshot on the characters contained in the second textboxes, and recording the position of each smallgraph in the large graph; performing character recognition on a large graph by using a trained CRNN to obtain a character recognition result and a character detection positioning result, adding the character recognition result to a corresponding position of a data table, and inputting the character recognition result into Excel; correcting the text in Excel through the NLP technology to acquire afinal recognition report. The method has the advantages of being high in recognition accuracy and high in table format reduction degree.

Description

technical field [0001] The invention relates to the technical field of character recognition, and more specifically relates to a method for character recognition and correction of a medical examination report. Background technique [0002] With the advancement of science and technology, the medical field is also gradually becoming digitized. Many medical examination reports are stored in paper form, which means that the patient case data between different hospitals is independent, which is not conducive to inter-hospital Therefore, how to realize form text recognition and digitize the paper-based medical examination report is necessary. [0003] At present, there are some table text recognition apps on the market, which correct the image of the medical examination report through perspective transformation, and then recognize the text in the text box after relevant processing and output Excel, but this kind of app cannot locate all the text boxes, and the text The recognitio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/232G06F40/284G06K9/32G06K9/34G16H15/00
CPCG16H15/00G06V20/62G06V30/158G06V30/10Y02D10/00
Inventor 杨青川宋滢滢夏惟德何帆周振
Owner 中电健康云科技有限公司
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