Automatic analyzing method and system for vaginal microecological morphology

An automatic analysis and morphological technology, applied in image analysis, medical automated diagnosis, informatics, etc., can solve the problems of low image resolution, long processing time, unsuitable for patient smear examination, etc.

Active Publication Date: 2016-10-19
PEKING UNIV FIRST HOSPITAL
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Existing computer image recognition techniques, such as the Wavelet PCA method (i.e. wavelet principal component analysis based on wavelet transform, Wavelet Principal Component Analysis), can extract image features relatively quickly, but this method is relatively simple for image processing, only relying on Priori knowledge of bacterial characteristics can be used to classify, but the recognition ability for diverse bacterial smear images is extremely limited
However, image recognition using artificial intelligence met

Method used

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  • Automatic analyzing method and system for vaginal microecological morphology
  • Automatic analyzing method and system for vaginal microecological morphology
  • Automatic analyzing method and system for vaginal microecological morphology

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Experimental program
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Example Embodiment

[0039] Example 1: Automatic analysis method of vagina microecological morphology of the present invention

[0040] 1. Super-resolution magnification reconstruction of the patient's smear to be tested

[0041] 1. Get high-resolution dictionary D h And low resolution dictionary D l :

[0042] Collect several (for example, 10-1000) high-resolution images in advance, and divide each image into high-resolution image blocks X h In addition, by performing fuzzy sampling and interpolation on the high-resolution image, the corresponding low-resolution image block X is obtained l . Then, use a dictionary training algorithm such as the K-SVD algorithm to train the above-mentioned high-resolution image block X h And its corresponding low-resolution image block X l , Get high resolution dictionary D h And low resolution dictionary D l .

[0043] 2. Obtain high-resolution images of patient smears:

[0044] Through clinical sampling, an image (low-resolution image) of the patient's smear to be detect...

Example Embodiment

[0090] Example 2: The vaginal microecological morphology automatic analysis system of the present invention

[0091] 1. System framework

[0092] According to the vagina microecological morphology automatic analysis method of the present invention, under the Microsoft.Visual.Studio.Team.System.2008 environment, the vagina microecological morphology automatic analysis system is developed to realize patient information input and vaginal microecological oil Functions such as selection of pictures under the mirror, automatic data analysis of selected pictures, manual recognition of pictures that cannot be automatically recognized, and printing of patient microecological test reports.

[0093] The overall structure and functions of the software development system include a patient information module, a case collection module, a data analysis module, a manual identification module, and a print form module. The patient information module is used to enter patient identity, examination status...

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Abstract

The invention aims at providing an automatic analyzing method and system for vaginal microecological morphology. A low-resolution smear image obtained through conventional equipment is subjected to super-resolution amplification rebuilding to be clearer, a foundation is laid for follow-up classification, then, a nerual network technology is applied for judging and recognizing the rebuilt high-resolution image, and the variety and density of microorganisms are further output, so that the purpose of carrying out automatic analysis and computer assisted recognition on vaginal microecological morphology is achieved, and objective and accurate clinic evaluation is carried out on a vaginal microecological system.

Description

technical field [0001] The invention relates to a method and a system for micro-ecological morphological analysis, in particular to a method and system for automatic analysis and computer-aided identification of vaginal micro-ecological morphological images. Background technique [0002] Female reproductive tract infection and sexually transmitted infection are common diseases among women, and they are also global social and public health problems. They have the characteristics of high incidence, high recurrence rate, and wide epidemic range. Infections are the source of many diseases, and if genital tract infections are not promptly diagnosed and properly treated, they can lead to HIV infection and an increased risk of developing cervical cancer, infertility, ectopic pregnancy, miscarriage, stillbirth, stillbirth, premature birth, Complications such as congenital infection, neonatal infection, and chronic abdominal pain affect the health of two generations. [0003] The es...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06T7/00G06T3/40G06T11/00G06F19/00
CPCG06T3/4053G06T7/0012G06T11/006G16H15/00G16H50/20G06T2207/10056G06T2207/20084G06T2210/41G06T2207/30242G06T2211/421G06V20/69G06V20/695G06V10/513G06V10/40
Inventor 肖冰冰刘朝晖张岱
Owner PEKING UNIV FIRST HOSPITAL
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