CT image computer-aided diagnosis system and method for liver disease based on data mining

A computer-aided, CT image technology, applied in the field of medical image analysis, can solve the problems of increased workload, misdiagnosis and missed diagnosis of doctors, and achieve the effect of avoiding the influence of human subjective factors, reducing the amount of calculation and time, and reducing the complexity.

Inactive Publication Date: 2018-11-13
YANSHAN UNIV
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Problems solved by technology

[0003] In recent years, with the continuous development of science and technology, digitalization has entered the medical field. The current era can be said to be the era of big data. However, the generation of a large ...

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  • CT image computer-aided diagnosis system and method for liver disease based on data mining
  • CT image computer-aided diagnosis system and method for liver disease based on data mining
  • CT image computer-aided diagnosis system and method for liver disease based on data mining

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Embodiment

[0039] This example is a computer-aided diagnosis system for CT images of liver diseases based on data mining, such as figure 1 As shown, it includes an input module, a texture feature extraction module, a classification diagnosis recognition module and an output module connected in sequence.

[0040] The input module is used to import liver CT images through contour segmentation and extraction;

[0041] The image texture feature extraction module is used to perform a series of image texture analysis on the extracted liver CT image to obtain the image feature of the target image, and the image feature is a 9-dimensional grayscale co-occurrence texture feature;

[0042] The classification and diagnosis module includes a classifier and a database of multiple pathologically diagnosed liver cancers, liver cysts, and normal liver CT image texture features. The input image texture features are statistically analyzed and classified;

[0043] The output module is used for outputting...

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Abstract

The invention discloses a CT image computer-aided diagnosis system and method for the liver disease based on data mining. The system comprises an input module, a texture feature extraction module, a classification diagnosis identification module and an output module. The method adopts the system and comprises the following steps of: segmenting and extracting the contour of an abdominal CT image inadvance, marking the normal liver CT, the liver cyst or the liver cancer, and importing the preprocessed image into the system; analyzing the image texture of the imported image to obtain the 13-dimensional gray-scale co-occurrence texture feature in the CT image by the image texture feature extraction module; according to a database, establishing a diagnosis model, and substituting the input liver CT image texture feature into a diagnosis model classifier for processing to obtain a diagnosis result and accuracy, wherein the database is stored in the classification diagnosis module and is composed of liver cancer and liver cyst image texture features and normal liver image texture features.

Description

technical field [0001] The invention relates to the technical field of medical image analysis, in particular to a computer-aided diagnosis system and method for liver disease CT images based on data mining. Background technique [0002] Cancer (generally referring to malignant tumors) seriously threatens people's health, and liver cancer is a common malignant tumor. In China, liver cancer ranks second in terms of morbidity and mortality. In cities, lung cancer ranks first, and in rural areas it is second only to gastric cancer. Because liver cancer has no obvious symptoms in the early stage, it is already in the middle and late stage when it is discovered, and the liver biopsy puncture technology currently used for liver diagnosis will cause great harm and pain to the patient's psychology and physiology. Therefore, it is of great significance to apply computer diagnostic technology to intervene in treatment in order to make an accurate diagnosis and make a reasonable treatm...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/12G06T7/45G16H30/20G16H50/20
CPCG06T7/0012G06T2207/10081G06T2207/30061G06T2207/30096G06T7/12G06T7/45G16H30/20G16H50/20
Inventor 童凯周伟王允轩孙家儒汪梅婷
Owner YANSHAN UNIV
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