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Intelligent analysis method and system of ultrasonic thyroid nodule risk index

A technology of thyroid nodules and risk indicators, applied in the information field, can solve problems such as inability to adapt to nodules, analyze and evaluate practical application needs, and achieve high robustness, low error rate, and good sensitivity

Active Publication Date: 2017-10-13
GENERAL HOSPITAL OF PLA +1
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  • Abstract
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Problems solved by technology

However, this scheme is only specially designed for breast tumors, and cannot meet the actual application needs of analyzing and evaluating nodular lesions in other tissues including the thyroid gland

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  • Intelligent analysis method and system of ultrasonic thyroid nodule risk index
  • Intelligent analysis method and system of ultrasonic thyroid nodule risk index
  • Intelligent analysis method and system of ultrasonic thyroid nodule risk index

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Embodiment Construction

[0047] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0048] The invention provides an intelligent analysis method and system for ultrasound thyroid nodule risk indicators, based on ultrasound data, using a deep neural network to quantitatively analyze the risk indicators of thyroid nodules; the invention has high robustness and good sensitivity, and can be used in large scale clinical use.

[0049] figure 1 The structure and flow of the thyroid nodule quantitative analysis method and system based on the deep neural network provided by the present invention are illustrated. The system includes an encoding module 1, a sliding window module 2, a deep self-encoding module 3, a multi-channel information fusion module 4 and user interaction Module 5.

[0050] Among them, the encoding module 1 is connected with the ultrasonic acquisition instrument, reads t...

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Abstract

The invention discloses an intelligent analysis method and system of an ultrasonic thyroid nodule risk index. Based on ultrasonic data, by using a deep neural network, the quantitative analysis of the ultrasonic thyroid nodule risk index is carried out. The method comprises a step of obtaining image data and statistical data , a step of inputting the data into a nodule recognizer, obtaining an output layer result, carrying out cluster analysis, and obtaining a cluster center, a step of inputting the cluster center into a deep auto-encoder input layer to carry out deep leaning to obtain deep characteristic data, a step of optimizing a deep auto-encoder through a regularized optimization method based on a thyroid characteristic, a step of using deep characteristic data and asking a user to obtain additional information, and a step of inputting the additional information and the deep characteristic data into a classifier, carrying out analysis based on an artificial neural network, and obtaining the nodule risk index. The method and the system have the advantages of high robustness and good sensitivity and can be used for large-scale clinical use.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a quantitative evaluation technology of thyroid ultrasound data, in particular to a method and system for quantitative analysis of thyroid nodule risk indicators based on a deep neural network of ultrasound data. Background technique [0002] Thyroid nodules have long relied on the subjective evaluation of ultrasound images by sonographers through the human eye. Although the existing technology uses some semi-quantitative evaluation indicators, it still cannot solve most of the evaluation needs. Physicians often use some subjective narratives in mutual communication and learning, which are prone to misunderstanding. Therefore, there is an urgent need for an efficient, stable, and repeatable quantitative evaluation tool. [0003] Among the existing techniques for analyzing and evaluating nodular lesions, Chinese Patent Invention 201010514921.1 describes a quantitative image e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/08G06F19/00
CPCG06N3/08G06F18/23
Inventor 罗渝昆张明博张诗杰杜华睿张珏方竞
Owner GENERAL HOSPITAL OF PLA
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