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

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...

AI Technical Summary

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 amount of data makes the workload of doctors and others excessively increased, and various errors are prone to occur, such as misdiagnosis and missed diagnosis. The consequences of such a mistake in medicine are unimaginable

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