Cloud labeling system

A technology for automatic labeling and lesions, applied in the field of cloud labeling systems, can solve problems such as lack of artificial intelligence AI, and achieve the effect of protecting health information and storing economies of scale

Inactive Publication Date: 2018-10-09
江苏医像信息技术有限公司
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  • Abstract
  • Description
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Problems solved by technology

The above only provides cloud PACS browsing and labeling functions, without the support of artificial intelligence AI technology, and there is no automatic labeling function in it

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Embodiment Construction

[0021] The cloud labeling system proposed by the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

[0022] The core idea of ​​the present invention is to provide a cloud labeling system to realize efficient and low-cost computer-aided diagnosis.

[0023] In order to realize the above ideas, the present invention provides a cloud labeling system, which includes a data management module, an intelligent lesion extraction module, an artificial intelligence diagnosis and prediction module, a structured report module and an application infrastructure module, wherein: The data man...

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Abstract

The invention provides a cloud labeling system, which comprises a data management module, a focus intelligent extraction module, an artificial intelligence diagnosis and prediction module, a structural report module and an application basic framework module. The data management module is established by downloading data from a known database. The focus intelligent extraction module is used for carrying out automatic labeling training through data in the data management module, acquiring data from a plurality of hospitals, and verifying an automatic labeling algorithm by using the data of the plurality of hospitals. The artificial intelligence diagnosis and prediction module is used for detecting focus in the data marked by the automatic labeling algorithm, and automatically judging symptomsin the data. The structural report module is used for extracting focus and symptoms, and forming a marked record file. The application basic framework module is used for bearing the data management module, the focus intelligent extraction module, the artificial intelligence diagnosis and prediction module and the structural report module.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a cloud labeling system. Background technique [0002] The development of medical imaging technology has facilitated the diagnosis of various diseases. Doctors observe the lesions of various tissues of the patient's body through images and make diagnosis and treatment judgments. However, this method has two major drawbacks: First, for doctors, with the With the popularization of equipment, more and more images need to be observed by doctors per unit time, which not only leads to low efficiency, but also makes doctors distracted due to long-term heavy work, which is easy to cause missed diagnosis and misdiagnosis; second, for patients, especially In a country like China, where the regional medical level is uneven, the medical benefits that different patients can enjoy are very different. Although there are state-of-the-art medical services in the first-tier cities,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/40G16H15/00G16H50/20G06T7/11G06N3/04
CPCG06T7/11G16H15/00G16H30/40G16H50/20G06T2207/20104G06T2207/30004G06T2207/20084G06N3/045
Inventor 文耀锋包勇
Owner 江苏医像信息技术有限公司
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