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Data processing method and system based on lung CT image

A CT image and data processing technology, applied in the field of image recognition, can solve problems such as data integration resistance, and achieve the effect of high accuracy, high robustness, generalization ability and strong generalization ability

Inactive Publication Date: 2021-09-21
HAINAN UNIVERSITY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Data integration faces huge resistance due to industry competition, privacy security and complex management procedures

Method used

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  • Data processing method and system based on lung CT image
  • Data processing method and system based on lung CT image
  • Data processing method and system based on lung CT image

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0047]It should be noted that the terms "include" and "have" and any variations thereof in the embodiments of the present invention and drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these pro...

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Abstract

The invention discloses a data processing method and system based on a lung CT image, and the method comprises the steps: enabling a central server to update a central model based on federal learning according to the received trained parameters uploaded by all terminal Agents (agents); according to the parameters uploaded by the terminal Agents, carrying out distribution of attention weights; on the basis of distribution of the attention weights, enabling the central server to update a model formula, and calculating the influence of each terminal Agent on the central model in each round; and calculating the contribution value of each terminal Agent according to the influence of each round of parameter of each terminal Agent on the central model, namely evaluating the contribution value of each terminal. According to the invention, real-time contribution measurement and evaluation can be realized in lung CT image recognition.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to a data processing method and system based on lung CT images. Background technique [0002] In recent years, the field of artificial intelligence has advanced by leaps and bounds, and image recognition, as an important part of artificial intelligence, has been widely used in various fields. The application of image recognition in the medical industry is particularly prominent. The application of medical imaging diagnosis can effectively solve the problem that the growth rate of radiologists is not as fast as that of image data, the uneven distribution of medical talent resources, and the high rate of misdiagnosis in primary hospitals. [0003] There are still some problems in the rapid development and widespread application of image recognition technology. Image recognition technology relies on data accumulation, but data exists in the form of isolated islands in...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/10G06K9/46G06K9/62G06N3/04G06N3/08G06N20/00
CPCG06T7/0012G06T7/10G06N3/08G06N20/00G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30061G06N3/047G06N3/045G06F18/241G06F18/2415
Inventor 闫冰洁肖驰周志成刘博艺陈海龙范智玮明诗雅叶静辰陆兴悦卢林峰
Owner HAINAN UNIVERSITY
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