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Medical image management system based on SVM

A medical imaging and management system technology, applied in the medical field, can solve problems such as increased workload and difficulty in manual recognition, achieving good recognition rate and misrecognition rate, and fast calculation speed

Inactive Publication Date: 2014-01-01
JIANGSU MEILUN IMAGING SYST
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Problems solved by technology

Traditional medical images use manual recognition and text classification methods. However, with the increasing number of medical images, especially the differences in race, gender, and age involved, it is becoming more and more difficult for manual recognition. and increasing workload

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  • Medical image management system based on SVM

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Embodiment Construction

[0022] Specific embodiments of the present invention will be further described in detail below.

[0023] Such as figure 1 Shown, a kind of medical image management system based on SVM of the present invention comprises:

[0024] Raw image database, classified image database, standard model library, standard disease model library, feature recognizer and classifier.

[0025] in:

[0026] Raw image database for storing medical images and recording donor information;

[0027] Classified image database, used to classify and store medical images in the original image database according to disease types;

[0028] The standard model library is used to store medical images of standard models of classified human organs of different genders, ages, races, heights, and weights;

[0029] The standard disease model library is used to store the medical characteristics of standard disease models, including various stages of the disease.

[0030] The feature recognizer is pre-trained based...

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Abstract

The invention discloses a medical image management system based on an SVM. The medical image management system based on the SVM is characterized by comprising an original image database used for storing medical images, a classification image database used for storing the medical images in the original image database in a classification mode according to disease varieties, a feature recognizer used for recognizing the medical features of the medical images in the original image database and a classifier. The classifier is used for recognizing the medical images in the image database through the feature recognizer to obtain the medical features of the medical images, then recognizing diseases and storing the medical images in the classification image database according to the disease varieties. According to the medical image management system based on the SVM, the Adaboost cascade classifier is used for carrying out training in advance, the good recognition rate and the good false accept rate are achieved for different samples, calculation speed is high, a large number of medical images can be recognized and classified fast, and the medical image management system can be used for large-scale medical image data database systems.

Description

[0001] technical field [0002] The invention belongs to the field of medicine, in particular to medical image management therein. Background technique [0003] Medical imaging is widely used in clinical diagnosis and treatment. How to use a large number of medical images to assist doctors in the diagnosis and treatment of diseases is a problem that the industry is currently studying. An excellent medical image management system must be classified according to the types of diseases and donors in order to perform efficient retrieval, information analysis and mining at any time. Traditional medical images use manual recognition and text classification methods. However, with the increasing number of medical images, especially the differences in race, gender, and age involved, it is becoming more and more difficult for manual recognition. And the workload is increasing day by day. How to solve this problem, introduce increasingly mature computer image recognition technology, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 胡边王燕妮陈波刘贵
Owner JIANGSU MEILUN IMAGING SYST
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