Method for implementing brain glioma computer aided diagnosis system based on data mining

A computer-aided, data mining technology, applied in computing, electrical digital data processing, special data processing applications, etc., can solve problems such as poor intelligibility, lack, and inconsistency

Inactive Publication Date: 2004-11-17
SHANGHAI JIAO TONG UNIV
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0006] 2) Error tolerance: different radiologists may come up with different descriptions for the same brain MRI image
[0007] 3) Missing values: due to cost or necessity, the values ​​of some items in some diagnostic cases are empty
However, rough set theory is not easy to deal with real data and uncertain descriptions, and the generated rules are large, not concise and difficult to understand
The multi-layer perceptron network based on BP training and learning algorithm can get a high diagnosis accuracy rate but the comprehensibility is very poor

Method used

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  • Method for implementing brain glioma computer aided diagnosis system based on data mining
  • Method for implementing brain glioma computer aided diagnosis system based on data mining
  • Method for implementing brain glioma computer aided diagnosis system based on data mining

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Embodiment Construction

[0033] The technical solution of the present invention will be further described in detail below in conjunction with specific embodiments.

[0034] The brain glioma case database used in the embodiment has a total of 280 records, provided by Huashan Hospital Affiliated to Fudan University, excluding private information such as names. For each case (sample), 14 MRI reading results and attribute records of the true malignancy of the patient's brain glioma were selected. Most of these records are recorded in written form, denoted as T = { ( x → l , y l ) } . (l=1, 2, . . . , 280), x → l = { x l 1 , ...

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Abstract

The invention is a method for brain glioma computer aided diagnosing system based on data excavating. The invention carries on attributes digitized process to data in the case bank at first by using the information in the case bank of the alioma sufferer, and creates the fuzzy membership relation to the digitized relation. Then the invention uses the fuzzy principle extraction method of the fuzzy maximal and minimal nerve network. The principle of diagnosis for excavating and discovering the alioma malignancy degree, the system is created according to the principle. The system can acquire the malignancy degree of any new case, acquires a high accuracy.

Description

Technical field: [0001] The invention relates to a realization method of a brain glioma computer-aided diagnosis system based on data mining, relates to the fields of pattern recognition, data mining and radiology, and can be directly applied to the computer-aided diagnosis of brain glioma malignant degree . Background technique: [0002] Brain glioma is a relatively rare disease, and the treatment mainly depends on the malignancy of the tumor. The correct judgment of its malignancy is related to whether it is necessary to perform high-risk brain surgery for the patient. If the degree of malignancy can be judged more reliably based on the patient's symptoms, unnecessary surgical risks and expenses may be avoided. [0003] The current diagnosis of the malignant degree of glioma is mainly based on the analysis of brain MRI images. But for most radiologists, due to the lack of opportunities to accumulate enough cases, it is a difficult job to make correct judgments. Yang Be...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杨杰叶晨洲耿道颖
Owner SHANGHAI JIAO TONG UNIV
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