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Image processing method and device based on pathological tissue section image organization area

A tissue slicing and pathology technology, applied in image data processing, image analysis, instruments, etc., can solve problems such as poor results, and achieve the effect of reducing the probability of misdiagnosis, reducing workload, and reducing burden

Active Publication Date: 2017-05-31
BEIJING COMPUTING CENT
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Problems solved by technology

The invention uses the traditional method of calculating the brightness difference feature quantity and using it as the feature quantity of each pixel of the pathologi

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  • Image processing method and device based on pathological tissue section image organization area
  • Image processing method and device based on pathological tissue section image organization area
  • Image processing method and device based on pathological tissue section image organization area

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Embodiment Construction

[0013] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0014] One aspect of the present invention proposes an image processing method based on tissue regions of pathological tissue slice images. Such as figure 1 as shown, figure 1 It is a basic flow chart of an image processing method based on a tissue region of a pathological tissue slice image according to an embodiment of the present invention. The method includes: step 1, preprocessing the pathological tissue slice image to obtain sub-image blocks; step 2, extracting sub-image block features based on a deep convolutional neural network model, integrating and pre-classifying pathological tissue slice image features, and obtaining abnormalities The pathological tissue sli...

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Abstract

The invention provides an image processing method and device based on a pathological tissue section image organization area. The image processing method based on the pathological tissue section image organization area comprises the steps: step 1, pre-processing a pathological tissue section image to obtain a sub image block; step 2, extracting sub image block characteristics on the basis of a deep convolutional neural network model, integrating the sub image block characteristics to obtain pathological tissue section image characteristics and pre-classifying the pathological tissue section image characteristics to obtain an abnormal pathological tissue section image; step 3, quantifying clinical hospital visiting information; step 5, using a multi-source data fusion technology to obtain fusion characteristics according to abnormal pathological tissue section image characteristics and the clinical hospital visiting information; and step 5, classifying the fusion characteristics by using a classifier. The image processing device based on the pathological tissue section image organization area comprises a pre-processing module, a characteristic extracting module, a classification module, a quantization module and a data fusion module. The image processing method and device based on the pathological tissue section image organization area, provided by the invention, have the advantage that a problem of poor organization area detection effect of the pathological tissue section image in the prior art is overcome.

Description

technical field [0001] The present invention relates to the field of computer-aided diagnosis, more specifically, to an image processing method and device based on tissue regions of pathological tissue slice images. Background technique [0002] At present, the dense population and strong demand for medical treatment make pathologists face heavy tasks. Therefore, computer-aided diagnosis technology based on pathological tissue slice images is particularly urgent. [0003] The Chinese invention patent "CN102214294A image processing device, image processing method and program" provides a processing device for pathological images, which uses traditional image processing methods to pre-learn cell tissue detectors to detect cell tissue regions in pathological images. The invention uses the traditional method of calculating the brightness difference feature quantity and using it as the feature quantity of each pixel of the pathological image. This traditional method can only be u...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/187
Inventor 季红张秀玲高佳高玥刘海伦沈涛
Owner BEIJING COMPUTING CENT
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