Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data processing method in intelligent lymph gland disease diagnostic system

An intelligent diagnosis and data processing technology, applied in the field of data processing based on classification and recognition, can solve the problems of complex data processing, difficult to meet clinical application, long diagnosis time, etc., achieve less data feature dimension, shorten diagnosis time, and ensure accuracy rate effect

Inactive Publication Date: 2015-01-07
CHONGQING UNIV
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] With the rapid development of artificial diagnosis methods for medical images, in order to be able to analyze and process increasingly complex medical images, the support vector machine method has become a research hotspot in artificial intelligence diagnosis in recent years. However, due to the many parameter characteristics of lymph node diseases, Directly use the training model of support vector machine for diagnosis and recognition, the data processing is complicated, the diagnosis time is long, and it is difficult to meet the clinical application

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data processing method in intelligent lymph gland disease diagnostic system
  • Data processing method in intelligent lymph gland disease diagnostic system
  • Data processing method in intelligent lymph gland disease diagnostic system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The specific implementation manner and working principle of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0023] Such as figure 1 As shown, a data processing method in a lymph node disease intelligent diagnosis system is performed according to the following steps:

[0024] Step 1: Normalize the sample data to make it within the preset range, the sample data includes M patient data and N non-patient data;

[0025] In this embodiment, a total of 243 inpatient inspection data are selected, and each inpatient data has 15 characteristics, which are: gender, 1 for male, 0 for female; age; PET-CT SUV of lung lesions Value; smoking status, never smoking is 0, past smoking is 1, current smoking is 2; size of excised lesion specimen; size of PET-CT examination; maximum diameter of plain CT; maximum diameter of enhanced CT; PET-CT examination of lymph nodes SUV value; shortest diameter MM of lymph nodes; isolatio...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a data processing method in an intelligent lymph gland disease diagnostic system. The data processing method is characterized by comprising the following steps that (1) normalization processing is conducted on sample data so that the sample data can be in a preset section range, wherein the sample data comprise the M patient data and the N non-patient data; (2) characteristic selection is conduced on the normalized data based on the P-value algorithm; (3) the characteristics selected in the step (2) are further screened based on forward characteristic selection; (4) an LS-SVM training model is structured according to the characteristics screened out in the step (3); (5) normalization processing is conducted on test data according to the mode in the step (1), the characteristics screened out in the step (3) are selected and brought in the LS-SVM training model structured in the step (4) to conduct classified recognition, and classifying results are output. According to the data processing method, the characteristic dimensions of the data are few when the training model is structured, the diagnostic time is shortened, and meanwhile the accuracy of the diagnostic system is ensured.

Description

technical field [0001] The invention belongs to a data processing method based on classification and identification, more specifically, a data processing method in an intelligent diagnosis system for lymph node diseases. Background technique [0002] Lymph node disease is one of the diseases that affect human health. In lymph node disease, the harm of lymph node tumor is more obvious. Therefore, in order to select an appropriate treatment plan for patients, it is very important to accurately diagnose the lymph nodes and lymph node lesions of tumor patients. Due to the huge cost of biopsy at the site of lymph node resection and the invasive nature of this operation, it will cause many negative effects; therefore, early diagnosis is particularly important for lymphadenopathy. Recently, the artificial lymph node disease diagnosis method based on medical images has played an important role in the diagnosis of lymph node diseases. It uses non-invasive technology to evaluate the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06T7/0012G06T2207/10104G06T2207/30096
Inventor 李勇明闫瑾王品何璇吕洋谢文斌
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products