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Character information identification method for medical image and device thereof

A technology of medical imaging and text information, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as errors, increased workload of medical staff, and delay of time for patients to take films, so as to improve recognition efficiency and improve The effect of accuracy

Active Publication Date: 2015-09-16
上海新红医医疗科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current practice is to manually check and match the films and reports to assign the corresponding images to the corresponding patients completely and accurately. there may be mistakes

Method used

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  • Character information identification method for medical image and device thereof
  • Character information identification method for medical image and device thereof
  • Character information identification method for medical image and device thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Such as figure 1 As shown, it is a schematic flowchart of the method for recognizing text information in medical images in this embodiment, and the method includes the following steps 110-140.

[0023] Positioning step 110: receiving an input from the operator to select a text area on the medical image, and determining a text area to be recognized for text information according to the input.

[0024] In step 110, the area selected by the operator on the medical image can be detected, and then the detected area can be used as the text area to be identified for text information, for example, the operator is provided with a frame selection tool such as a mouse or a touch method to Make a frame selection of the area. Alternatively, by providing sample input text for the operator to input the information of the medical image he observes, the information is combined to determine the text area to be recognized for text information. For example, the information corresponding t...

Embodiment 2

[0033] This embodiment is an improvement made on the basis of Embodiment 1, as figure 2 As shown, in addition to including the same steps 110-150 as in the first embodiment, a learning step 170 and / or a receiving step 160 are also included.

[0034] As described in the first embodiment, the verification result may not only be the recognized text that passed the verification, but also output a result that prompts the operator that the recognition is wrong. For the former (that is, the recognized text that has passed the verification), this embodiment receives the feedback from the operator on the output, and the feedback includes positive feedback and representation recognition that the operator gives correct representation recognition based on the recognition text and the actual text on the image Wrong negative feedback, according to the positive feedback and negative feedback, determine the positive sample and negative sample of the verified recognized text, and then use the...

Embodiment 3

[0037] This embodiment is an improvement made on the basis of Embodiment 1 or Embodiment 2. Here, the improvement on Embodiment 1 is taken as an example for illustration. This improvement can also be implemented in a similar position of Embodiment 2. Such as image 3 As shown, in addition to the same steps 110-150 as in the first embodiment, this embodiment also includes a re-identification step 180 (the re-identification step 180 can also be placed between the identification step 130 and the correction step 140 of the second embodiment) . In the re-identification step, the operator receives feedback on the recognition status of the initial recognition text output by the recognition step. If the feedback is lower than the preset minimum recognition threshold condition, the operator is prompted to re-execute the positioning step. For example, the operator based on the recognition text and The actual text on the image gives feedback representing the recognition accuracy. Here, ...

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Abstract

The invention relates to a character information identification method for a medical image and a device thereof. The method comprises the steps that input of selecting a character area of an operator on the medical image is received, and the character area under character information identification is confirmed according to the input; image preprocessing operation is performed on the character area so that non-character information is removed and a clean character image is obtained; the character image is cut so that characters are split out and single character images are obtained, and the obtained single character images are identified so that preliminarily identified characters are obtained; the preliminarily identified characters are corrected; and the corrected identified characters are verified according to the preset verification conditions so that unreasonable and illegal identified characters are removed, a verification result is outputted, and the verification result includes the verified identified characters. The identification range is reduced according to the received input of the operator, identification efficiency is enhanced, and the preprocessed and preliminarily identified characters are corrected and verified so that identification accuracy is further enhanced.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a text information recognition method and device in medical images. Background technique [0002] At present, hospitals generally use the Picture Archiving and Communication System (PACS) to store and manage the medical image data obtained by medical staff after performing imaging examinations on patients. Doctors need to review images of patients, write imaging inspection reports, etc. Since the images and reports are distributed independently, the digital film corresponding to the medical image does not store relevant information of the patient in text format, but the information is embedded in the digital film corresponding to the medical image in the form of an image. Therefore, before the film and the report are handed over to the patient, it is necessary to associate the patient information obtained in the film with the report. The current practice is to ...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/72
CPCG06V10/267G06V10/768G06V30/287
Inventor 宗旭东
Owner 上海新红医医疗科技有限公司
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