Method and system for segmenting cervical caner cells

A technology for cervical cancer cells and cervix, which is applied in the fields of instrumentation, calculation, and electrical digital data processing.

Inactive Publication Date: 2014-08-13
SHENZHEN UNIV
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Problems solved by technology

[0005] Although these methods have achieved certain success, there is a very large distance between these methods and the actual auxiliary system: First, these methods only complete the segmentation of the nucleus, while ignoring the segmentation of the cytoplasm, and the information of the cytoplasm is important for identifying abnormal cells. It is also very critical; the second is that many of these methods assum

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  • Method and system for segmenting cervical caner cells
  • Method and system for segmenting cervical caner cells
  • Method and system for segmenting cervical caner cells

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Embodiment Construction

[0021] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0022] refer to figure 1 Shown is a flow chart of a preferred embodiment of the method for segmenting cervical cancer cells of the present invention.

[0023] Step S401, receiving a cervical image to be segmented, and removing noise from the image. in particular:

[0024] Because the collected cervical images are polluted by noises in different degrees, the noises include impulse noise and Gaussian noise, which are mainly generated during the process of image acquisition. Among commonly used filters, median filtering can remove both impulse noise and Gaussian noise to a certain extent. Since the Trim-Meaning method is better than the median filter in removing impulse noise and Gaussian noise, this embodiment uses the Trim-meaning method to sort the pixel values ​​in the m×m window area from small to large gray values: C i,j ={C 1...

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Abstract

The invention relates to a method for segmenting cervical cancer cells. The method includes the following steps that noise of a cervical image is eliminated; a cytoplasm template is constructed for the image of which the noise is eliminated to perform rough segmentation, so that a cytoplasm area is obtained through segmentation; super-pixels are calculated for the cytoplasm area obtained through segmentation; the cytoplasm area which the super-pixels are calculated for is classified by the adoption of a convolution neural network; according to the constructed cytoplasm template of the image of which the noise is eliminated, cell nucleuses are roughly segmented; the roughly segmented cell nucleuses are corrected, and therefore segmentation on the cervical cancer cells is finished. The invention further relates to a system for segmenting the cervical cancer cells. On one hand, processing speed is guaranteed, and on the other hand, an accurate segmentation effect is achieved.

Description

technical field [0001] The invention relates to a method and system for segmenting cervical cancer cells. Background technique [0002] Cervical cancer is the 4th leading cause of death among malignant tumors in women, and 85% of women suffering from cervical cancer come from developing countries. Data have demonstrated that cervical cancer screening successfully reduces morbidity and mortality. Clinical screening methods are mainly cytology, colposcopy and histopathology, among which cytology screening is the simplest and most important means. [0003] Computer-aided cell detection technology is currently considered to play an important role in cytological screening. It can not only accurately screen, reduce labor intensity and workload, but also eliminate psychological adaptability and fatigue caused by manual detection. misdiagnosis and missed diagnosis. The performance of the computer-aided system mainly depends on the accurate image segmentation, so the accuracy of t...

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Application Information

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IPC IPC(8): G06K9/62G06K9/40G06F19/24
Inventor 雷柏英张灵汪天富宋有义倪东陈思平
Owner SHENZHEN UNIV
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