A combined high and low resolution image classification system for cervical cell slices

A high- and low-resolution, cervical cell technology, applied in instrumentation, understanding medical/anatomical patterns, computing, etc., to achieve the effect of taking into account accuracy and efficiency

Active Publication Date: 2020-10-23
怀光智能科技(武汉)有限公司
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Problems solved by technology

Artificially designed pathological cell feature engineering is effective but has great limitations

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  • A combined high and low resolution image classification system for cervical cell slices
  • A combined high and low resolution image classification system for cervical cell slices
  • A combined high and low resolution image classification system for cervical cell slices

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Embodiment Construction

[0058] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0059] Such as figure 1 As shown, the high- and low-resolution combined cervical cell slice image classification system provided by the present invention includes an image classification program module, which, when called, implements the following steps:

[0060] Step 1) Perform foreground segmentation on the digital slice scanned under a 10x mirror, and extract multiple cell cluster image regions from th...

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Abstract

The invention discloses a cervical cell slice image classification system with high and low resolution combination. The system includes an image classification program module, which is characterized in that, when the module is called, the following steps are implemented: extract Single cell cluster image area; identify suspicious cell cluster image area from low-resolution cell cluster image area; map suspicious cell cluster image area to high-resolution slice image; in high-resolution suspicious cell cluster image area Semantically segment the target cell image and classify its type; according to the type, quantity and confidence of the target cell in the segmented target cell image, the feature set of the slice image is established, and then the entire slice image is classified. The invention uses cell clusters as processing and identification units, and uses a combination of high and low resolutions to segment target cell images and classify their types, thereby improving identification accuracy and identification efficiency.

Description

Technical field [0001] The invention belongs to the field of medical cytopathological image processing, and more specifically relates to a cervical cell slice image classification system combining high and low resolution. Background technique [0002] Cervical cancer is a malignant tumor with a high incidence among women. Cervical liquid-based cytopathology is currently the most important means of preventing and screening cervical cancer. Accurate interpretation of diseased cells in cytopathological slice images is an important basis for doctors to determine the patient's condition and formulate treatment plans. Currently, the interpretation of artificial cytopathological images is not only time-consuming, but the interpretation results are very dependent on the doctor's experience. Therefore, automatically interpreting diseased cells in pathological slices can not only improve the efficiency of diagnosis, but also give doctors a more unified and objective diagnosis basis. The...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/34G06K9/32
CPCG06V10/25G06V10/267G06V2201/03G06F18/24
Inventor 程胜华余江胜曾绍群刘秀丽吕晓华
Owner 怀光智能科技(武汉)有限公司
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