Method for identifying benign and malignant lung nodules based on multi-dimensional information

A multi-dimensional information, lung nodule technology, applied in the field of feature modeling and clustering classifier construction based on fuzzy C-means, can solve the problems of doctors not giving, misdiagnosing, delaying patient treatment, etc.

Inactive Publication Date: 2014-04-23
SHENYANG AEROSPACE UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in clinical diagnosis, sometimes the doctor cannot give the exact diagnosis result, but gives the probab...

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  • Method for identifying benign and malignant lung nodules based on multi-dimensional information
  • Method for identifying benign and malignant lung nodules based on multi-dimensional information
  • Method for identifying benign and malignant lung nodules based on multi-dimensional information

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Embodiment Construction

[0227] The present invention is described in conjunction with specific embodiment:

[0228] A method for distinguishing between benign and malignant pulmonary nodules based on multidimensional information, comprising the following steps: figure 1 as shown,

[0229] Step 1. Two-dimensional representation of three-dimensional nodules;

[0230] Step 2, building a feature model;

[0231] Step 3, building a fuzzy classifier;

[0232] Step 4. Evaluate classification performance.

[0233] Step 1. Two-dimensional representation of three-dimensional nodules

[0234] The invention adopts the helical scanning technology to generate viewpoints distributed orderly and evenly on the surface of the candidate nodules. The generation of the viewpoint is determined by the azimuth angle and elevation angle. Azimuth angles range from 0 to 2π, and elevation angles range from 0 to π. Since the azimuth angle range is twice the elevation angle range, the initial azimuth angle and elevation ang...

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Abstract

The invention discloses a method for identifying benign and malignant lung nodules based on multi-dimensional information. The method comprises the following steps: 1, representing a three-dimensional nodule in a two-dimensional way; 2, building a feature model; 3, building a fuzzy classifier; 4, evaluating the classifying performance. The method has the beneficial effects that accurate feature modeling is crucial to the identification of benign and malignant lung nodules. More objective bases are laid for the identification of the benign and malignant lung nodules by adopting imaging diagnosis features, common shapes and textual features in image processing, and patient information, feature extraction is performed on a two-dimensional image generated on the basis of a helical scanning technology, and a novel method is adopted for feature modelling, so that the extracted features are more accurate. In the method, a fuzzy C-means (FCM) clustering algorithm is adopted for identifying benign and malignant status of a suspected nodule, and a probability indicating the suspected nodule is benign or malignant is given, so that the method is more accordant with the thinking mode of a doctor.

Description

technical field [0001] The invention relates to a method for distinguishing benign and malignant pulmonary nodules based on multidimensional information, in particular to feature modeling and the construction of a fuzzy C-means clustering classifier. technical background [0002] At present: a lot of work has been done on the differentiation of benign and malignant pulmonary nodules. In foreign countries, Suzuki et al. used a CAD system composed of six large-scale trained artificial neural networks to distinguish benign from malignant pulmonary nodules; Eight attributes of benign and malignant discrimination; Dolejei et al. proposed an adaptive enhancement algorithm with different weights for missed pulmonary nodules and misclassified tissues, which reduced the false negative rate and false positive rate; Antonelli et al. simulated a physician The team established a multi-classifier system to complete the identification of benign and malignant pulmonary nodules by voting; K...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46G06T7/00
Inventor 张国栋郭薇肖男肖娅
Owner SHENYANG AEROSPACE UNIVERSITY
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