Liver CT tumor classification system and classification method

A liver tumor and classification method technology, which is applied in the liver CT tumor classification system and classification field, can solve the problems of blurred liver boundaries, difficulty in accurate tumor detection, and difficulty in large-scale sample training and classification, and achieves improved classification efficiency and high detection. Sensitivity, the effect of reducing workload
CN110276407AInactive Publication Date: 2019-09-24HARBIN UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HARBIN UNIV OF SCI & TECH
Publication Date
2019-09-24
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a liver CT tumor classification system and classification method. The liver CT tumor classification system comprises a suspicious liver tumor detection module, a candidate liver tumor segmentation module and a candidate liver tumor classification module. The suspicious liver tumor detection module adopts a liver spectrum and manual correction combined method to segment out liver parenchyma, then a variable annular filter is adopted to carry out suspicious liver tumor detection to obtain candidate liver tumors, and the center of the variable annular filter is determined through gray scale weight distance conversion to serve as a candidate liver tumor seed point; the candidate liver tumor segmentation module completes candidate liver tumor segmentation by using a 3D region growing algorithm; the candidate liver tumor classification module is used for carrying out rough false positive reduction on candidate liver tumors by adopting an empirical threshold method, and dividing the candidate liver tumors into tumors and other liver tissues by taking an SVM algorithm as a classifier. The liver CT tumor detection sensitivity is high, and the classification accuracy is effectively improved.
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Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to a liver CT tumor classification system and a classification method. Background technique

[0002] As the largest glandular organ in the human body, the liver plays an important role in human metabolism. The liver is located in the abdomen of the human body, adjacent to many important organs, and has a sufficient blood supply. Once the disease is triggered, it is very easy to transfer to the surrounding organs, and it is also easily affected by other organs. In addition, as the second leading cause of death, liver cancer has an annual incidence rate of 26.39 per 100,000 people in China. The lack of medical classification is an important reason for the high mortality rate. Compared with MR, X-ray and other radiation techniques, CT images have the advantages of fast imaging, high contrast, and low cost. Therefore, they are widely used in the detection and classification of...

Claims

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