Medical image inspection disease classification method based on support vector machine (SVM)

A technology of support vector machine and medical imaging, which is applied in computer parts, instruments, character and pattern recognition, etc.

Inactive Publication Date: 2015-08-12
HANGZHOU DIANZI UNIV +1
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Problems solved by technology

[0005] The purpose of the present invention is mainly to overcome the problems of sample size, high dimensionality and training process of commonly used classifiers, and propose an optimized support vector machine text classification method to solve the automatic classification of diseases based on text data in medical image inspection

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  • Medical image inspection disease classification method based on support vector machine (SVM)
  • Medical image inspection disease classification method based on support vector machine (SVM)
  • Medical image inspection disease classification method based on support vector machine (SVM)

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Embodiment Construction

[0035] The specific implementation manners of the present invention will be described in further detail below in conjunction with the accompanying drawings and related embodiments.

[0036] The core idea of ​​the present invention is mainly to use K-means clustering to complete the clustering of the inspection text data, and use the clustered inspection text as the training set and test set of the SVM classifier. Finally, for the unique situation of the inspection text, the The training process of the SVM classifier uses an optimized training process to improve the classification effect of the SVM classifier. The entire classification flow chart is as follows figure 1 As shown, the detailed steps are as follows.

[0037] Step 1: The k-means clustering process is as follows figure 2 As shown, the main goal is to cluster the 20,000 inspection text data in the RIS database into ten categories, which is convenient for the realization of automatic classification of inspection text...

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Abstract

The invention discloses a medical image inspection disease classification method based on a support vector machine (SVM). Inspection text data is clustered by use of a K-means cluster, a clustered inspection text is taken as a training set and a test set of an SVM classifier, and finally, for the special condition of the inspection text, an optimized training process is applied to the training process of the SVM classifier, such that the classification effect of the SVM classifier is improved.

Description

technical field [0001] The invention relates to the field of automatic classification of medical image examination diseases, in particular to an automatic classification method for medical image examination diseases based on a support vector machine. Background technique [0002] With the rapid development of digital healthcare, medical data has exploded. Taking the medical imaging information system RIS as an example, it has accumulated a large number of inspection, follow-up and consultation records after years of operation, most of which are text data. For these massive text data, it is of great significance to study the clustering and classification of diseases for medical management decision-making. [0003] At present, the classification of diseases in medical imaging examinations is generally done manually by imaging doctors. Due to the busy daily diagnosis of imaging doctors, they often have no time to take care of them. Therefore, automatic classification after th...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/23213G06F18/2411G06F18/214
Inventor 何必仕倪杭建徐哲
Owner HANGZHOU DIANZI UNIV
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