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Image feature extraction method and device, tumor recognition system and storage medium

An image feature extraction and tumor technology, applied in the field of medical image processing, can solve the problem that the image features of tumor identification cannot be extracted

Active Publication Date: 2019-11-26
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides an image feature extraction method, device, tumor identification system and storage medium, which solves the problem that the image feature extraction method in the prior art cannot extract image features that are easy to identify tumors.

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  • Image feature extraction method and device, tumor recognition system and storage medium
  • Image feature extraction method and device, tumor recognition system and storage medium
  • Image feature extraction method and device, tumor recognition system and storage medium

Examples

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Embodiment 1

[0049] figure 1 It is a flow chart of the image feature extraction method provided by Embodiment 1 of the present invention. The technical solution of this embodiment is suitable for automatic tumor recognition based on pathological images. The method can be executed by the image feature extraction device provided in the embodiment of the present invention, and the device can be implemented in the form of software and / or hardware, and configured to be applied in a processor. The method specifically includes the following steps:

[0050] S101. Acquire grayscale pathological images of pathological slices.

[0051]Wherein, the images of the physiological slices collected by the medical microscope are usually color pathological images. If the resolutions of the collected color pathological images are the same, the collected color pathological images are directly converted into grayscale pathological images. If the resolutions of the collected color pathological images are diff...

Embodiment 2

[0070] Figure 4 It is a structural block diagram of an image feature extraction device provided in Embodiment 2 of the present invention. The device is used to execute the image feature extraction method provided in any of the above embodiments, and the device may be implemented by software or hardware. The unit includes:

[0071] Acquisition module 11, for obtaining the gray-scale pathological image of pathological slice;

[0072] The eigenvector module 12 is used to control at least two masks of different scales to move pixel by pixel on the grayscale pathological image, and calculate the eigenvalues ​​corresponding to each movement result, and stitch all the eigenvalues ​​corresponding to each mask A feature vector used to represent the structural features of the grayscale pathological image is formed together, wherein the mask includes a white area and a black area which are mutually opposite numbers, and the black area is a rectangular area including at least one corne...

Embodiment 3

[0083] Figure 5 Schematic diagram of the structure of the tumor recognition system provided in Example 3 of the present invention, such as Figure 5 As shown, the system includes a processor 201 and a memory 202; the number of processors 201 in the system can be one or more, Figure 5 Take a processor 201 as an example; the processor 201 and the memory 202 in the system can be connected by bus or other methods, Figure 5 Take connection via bus as an example.

[0084] The memory 202, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules. The processor 201 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 202, that is, implements the following methods:

[0085] Obtain the gray-scale pathological image of the pathological slice; control at least two masks of different scales to move pixel by pixel on the gr...

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Abstract

The embodiment of the invention discloses an image feature extraction method and device, a tumor recognition system and a storage medium. The method comprises the following steps: acquiring a gray pathological image of a pathological section; controlling at least two masks with different scales to move pixel by pixel on the gray pathological image, calculating a characteristic value correspondingto each moving result; and splicing all the feature values corresponding to each mask together to form a feature vector used for representing the gray pathological image structural features, the maskcomprising a white region and a black region which are opposite to each other, and the black region being a rectangular region at least comprising one corner of the mask. The problem that an image feature extraction method in the prior art cannot extract image features easy for tumor recognition is solved.

Description

technical field [0001] Embodiments of the present invention relate to the field of medical image processing, in particular to an image feature extraction method, device, tumor recognition system and storage medium. Background technique [0002] Cancer is one of the important killers of people's health in our country. According to the statistics of the "2015 China Tumor Registration Annual Report" issued by the National Cancer Center and the Ministry of Health's Bureau of Disease Control and Prevention, about 3.12 million new tumor cases are discovered in my country every year, with an average of 6 people were diagnosed with cancer, and 5 people died of cancer. Judging from the grade data of the past 20 years, the incidence and mortality of cancer in my country are still showing a clear upward trend. In order to effectively deal with the high incidence of cancer, early cancer screening is generally adopted worldwide for cancer prevention. As an important means of early cance...

Claims

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Application Information

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IPC IPC(8): G06K9/46G16H50/30
CPCG16H50/30G06V10/44G06V2201/03
Inventor 李志成梁栋赵源深
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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