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Benign and malignant pulmonary nodule identifying apparatus and method based on improved capsule network

A technology for identifying devices and pulmonary nodules, which is applied in image data processing, instrumentation, computing, etc., and can solve problems such as slow convergence of capsule networks.

Active Publication Date: 2018-11-27
SOUTHWEST UNIVERSITY
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Problems solved by technology

[0007] In order to solve the problem of slow convergence speed of the capsule network, the present invention proposes a new activation function for the capsule network, which can improve the convergence speed of the capsule network and improve the accuracy of its image recognition. The purpose of the identification effect, the present invention provides a system and method for identifying benign and malignant pulmonary nodules based on the improved capsule network

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  • Benign and malignant pulmonary nodule identifying apparatus and method based on improved capsule network
  • Benign and malignant pulmonary nodule identifying apparatus and method based on improved capsule network
  • Benign and malignant pulmonary nodule identifying apparatus and method based on improved capsule network

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[0072] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0073] Such as figure 1 As shown, a device for identifying benign and malignant pulmonary nodules based on the improved capsule network includes a capsule network image recognizer and a capsule network trainer. Pulmonary nodule recognition results;

[0074] The capsule network image recognizer is a preset capsule network, the capsule network includes a convolutional structure and a fully connected structure, the convolutional input of the convolutional structure is connected to the input image, and the convolutional structure of the convolutional structure The output end is connected to the fully connected input end of the fully connected structure, and the output vector v of the fully connected structure j The one with the largest median value is the result of identifying benign and malignant pulmonary nodules;

[0075] The convolutional str...

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Abstract

The invention discloses a benign and malignant pulmonary nodule identifying system and method based on an improved capsule network, which are characterized in that a new activation function operation(shown in the description) is proposed in a full connection structure of the capsule network, wherein vj is an output vector, and sj is an intermediate vector after dynamic routing adjustment. The beneficial effects are that the activation function can improve the convergence speed of the capsule network and the image identifying accuracy thereof; meanwhile, based on the advantages of the capsulenetwork on the image identifying of the convolution neural network, the pulmonary nodule identification effect of the benign and malignant pulmonary nodule identifying system and method is greatly superior to that of the traditional recognition tools.

Description

technical field [0001] The invention relates to the application of a capsule network in medical image processing, in particular to a device and method for identifying benign and malignant pulmonary nodules based on an improved capsule network. Background technique [0002] In my country, 4.3 million cases of cancer are diagnosed every year, and more than 2.8 million people die from cancer. Cancer seriously affects the health and safety of urban residents in my country. At this stage, cancer deaths in my country account for about 1 / 4 of all causes of death, ranking first in death. Among them, lung cancer is the cancer with the largest number of deaths. Pulmonary nodules are an important manifestation of lung cancer. The 5-year survival rate of early lung cancer is as high as 60%, while the 5-year survival rate of advanced lung cancer is only 4%. "Early screening, early diagnosis, and early treatment" can improve the survival of cancer patients in my country rate, greatly redu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/20081G06T2207/20084G06T2207/30096
Inventor 段书凯张金陆春燕王丽丹邹显丽罗露
Owner SOUTHWEST UNIVERSITY
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