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Intelligentize lung cancer early cell pathological picture recognition processing method

A technology of cytopathology and image recognition, applied in image data processing, image data processing, image analysis, etc., can solve the problem of low accuracy of lung cancer cell recognition

Inactive Publication Date: 2008-07-23
中国人民解放军第八一医院 +1
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Problems solved by technology

However, the existing technology has the current situation that the recognition accuracy of existing lung cancer cells is not high, because there is no system for intelligent recognition of lung cancer cell pathology images and the method for intelligent recognition of lung cancer cells

Method used

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  • Intelligentize lung cancer early cell pathological picture recognition processing method
  • Intelligentize lung cancer early cell pathological picture recognition processing method
  • Intelligentize lung cancer early cell pathological picture recognition processing method

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Embodiment Construction

[0076] Compared with Figure 1, the processing of cell images is divided into five steps: image preprocessing, image segmentation, overlapping cell separation and reconstruction, feature extraction and selection, and cell classification. The most critical steps are image segmentation, overlapping cell separation and reconstruction. Structural and cellular classification.

[0077] The specific steps are as follows:

[0078] 1. Image preprocessing

[0079] The image is converted from a color image to a grayscale image, and the converted grayscale image is denoised by a neighborhood average method, and the neighborhood average method is a prior art;

[0080] 2. Image Segmentation

[0081] The image segmentation stage based on reinforcement learning includes steps such as perception, action selection, policy update, reward perception and image segmentation. The learning process is as follows:

[0082] (1) image is segmented by image segmentation step;

[0083] (2) Calculate the...

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Abstract

The invention relates to an intelligent lung cancer early cell pathological image recognition processing method, which comprises image pretreatment, image segmentation, laminate cell separation and reconstruction, cell character extraction and cell classification. The invention has the advantages that the image segmentation based on reinforcement learning uses incremental learning and continuous interaction with environment to search for optimized segmentation threshold value to obtain the segmentation effect which average value is 91%, the laminate cell separation and reconstruction uses B spline and modified deBoor-Cox method to simulate true cell edge better, the classifier uses general vote method to avoid low classifying accuracy of single classifier and improve total classifying accuracy, the application of two-stage classifier can reduce the possibility of false positive and false negative. Tests prove that the classifying accuracy of cancer or no cancer can average reach 93.8%, the classifying accuracy of squamous cell carcinoma, adenocarcinoma and small cell carcinoma average reaches 75%, and the false positive and negative average reach 4-6%.

Description

technical field [0001] The invention relates to an intelligent early lung cancer cytopathological image recognition and processing method, which belongs to the technical field of computer medical applications. Background technique [0002] With the wide application of image processing technology in the medical field, the recognition of cells by means of image processing and pattern recognition technology has also received more and more attention. Based on the design and implementation of lung cancer cell pathology image recognition processing system, the principle is to segment the cell image, extract the area where the cell is located, separate and reconstruct the overlapping cells, and then perform feature extraction on the segmented independent cells. The extracted features are classified and identified, and objective cell identification results are given. However, in the prior art, the recognition accuracy of existing lung cancer cells is not high. The reason is that th...

Claims

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Application Information

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IPC IPC(8): G01N21/84G06T1/00G06T7/60
Inventor 叶玉坤高阳汪栋张缨赵波朱亮郭晓文
Owner 中国人民解放军第八一医院
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