Method and system for detecting lung nodules based on data enhancement

A detection method, a technology of pulmonary nodules, applied in the field of pulmonary nodule detection, can solve the problems of low detection efficiency of pulmonary nodules, achieve the effects of over-fitting phenomenon, improvement of detection efficiency, and reduction of false positive rate

Inactive Publication Date: 2018-04-20
HEFEI UNIV OF TECH
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[0005] Aiming at the deficiencies of the prior art, the present invention provides a method and system for detecti...

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  • Method and system for detecting lung nodules based on data enhancement
  • Method and system for detecting lung nodules based on data enhancement

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[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0046] Using timeline means using the time axis and timeline to display the user's social information, allowing users to view their social information, personal imprints or their favorite information in the time dimension. Relying on the underlying data analysis of the data center, it extracts and assembles the data of students during their school...

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Abstract

The present invention provides a method and system for detecting lung nodules based on data enhancement. The method includes: classifying a preprocessed chest radiograph into a training set, a verification set and a test set according to a preset proportion; in the training set and the verification set using lung nodule areas extracted from the chest radiograph as model training positive samples,cutting the other areas in the chest radiograph at random as model training negative samples, and fusing at least two negative samples to increase the number of negative samples; dividing the whole JPG image of the chest radiograph into non-overlapped image blocks by a sliding window, and then inputting the image blocks into a convolution neural network model to determine whether the image blocksare positive samples or negative samples. The method and system can improve the detection efficiency of the lung nodules and reduce a false positive rate, and can overcome the over-fitting phenomenonof the model caused by insufficient chest radiograph data by deforming the negative samples.

Description

technical field [0001] The invention relates to the field of pulmonary nodule detection, in particular to a method and system for detecting pulmonary nodules based on data enhancement. Background technique [0002] Early lung cancer appears on medical imaging as small shadows called lung nodules. So far, many tools for detecting pulmonary nodules have appeared at home and abroad. Traditional X-ray is a simple, cheap and widely used method of chest radiograph detection. However, its ability to detect early lung cancer is limited by technology and physician level and the recognition rate cannot be well guaranteed. The most influential and the highest recognition rate is the multi-slice spiral CT technology, but its high radiation hazards also restrict the use of this technology. With the development of medical imaging technology, the resolution and contrast of chest X-rays have been greatly improved. Many hospitals still use chest X-rays for a preliminary diagnosis, and the...

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Application Information

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IPC IPC(8): G16H50/30G06N3/04G06T7/00
CPCG06T7/0012G06T2207/20084G06T2207/30064G06N3/045
Inventor 孙晓夏平平丁帅杨善林
Owner HEFEI UNIV OF TECH
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