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Thyroid ultrasound characteristic tumor grading system based on Rocchio algorithm

A tumor grading and thyroid technology, applied in computing, computer components, computer-aided medical procedures, etc., can solve problems such as low work efficiency, achieve the effects of improving efficiency, reducing doctors' workload, and improving analysis efficiency

Pending Publication Date: 2022-01-04
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] However, the current thyroid TI-RADS grade is judged by the sonographer using personal prior knowledge and ultrasound report information. Even if there is a judgment manual, there is a certain degree of subjectivity.
In addition, for doctors, a single person can only process the color ultrasound report of one patient at a time, and the work efficiency is low

Method used

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  • Thyroid ultrasound characteristic tumor grading system based on Rocchio algorithm
  • Thyroid ultrasound characteristic tumor grading system based on Rocchio algorithm
  • Thyroid ultrasound characteristic tumor grading system based on Rocchio algorithm

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Embodiment Construction

[0054] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0055] Refer to attached figure 1 A structural schematic diagram of a thyroid ultrasound characteristic tumor grading system based on the Rocchio algorithm involved in the present invention.

[0056] as attached figure 1 As shown, a Rocchio algorithm-based thyroid ultrasound characteristic tumor grading system according to the present invention includes an ultrasound doctor's desktop web terminal, and a packaged tumor information ...

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Abstract

A thyroid ultrasound characteristic tumor grading system based on a Rocchio algorithm belongs to the field of text classification under natural language processing, biomedical named entities are identified by using the Rocchio algorithm, and thyroid TI-RADS grading is matched through a mapping relation, so that thyroid tumors are graded, and an auxiliary diagnosis effect is achieved. In the process that a doctor diagnoses a thyroid patient, the system can be used for automatically importing thyroid and neck lymph node color Doppler ultrasound reports, and a tumor grading function is realized through a trained Rocchio algorithm model and a named biomedical entity, so that the doctor is helped to quickly and deeply understand thyroid tumor details of the patient, and the diagnosis level is improved. Meanwhile, the stability of the desktop end system also has certain applicability to the processing of a large amount of daily medical clinical data.

Description

technical field [0001] The invention belongs to the field of text classification under natural language processing, and in particular relates to a Rocchio algorithm-based thyroid ultrasound characteristic tumor grading system. Background technique [0002] Thyroid tumors refer to tumors that grow in the thyroid gland, including benign and malignant. According to the pathological type of tumor, benign thyroid tumor mainly refers to thyroid adenoma, which can be divided into follicular adenoma and papillary cystadenoma; malignant thyroid tumor is thyroid cancer, which can be divided into papillary carcinoma and follicular carcinoma , medullary carcinoma and undifferentiated carcinoma 4 categories. [0003] According to the "China Tumor Registration Annual Report" released in 2018, the incidence of thyroid cancer in my country is increasing year by year; especially after the age of 40, the incidence rate increases rapidly, reaching the peak at the age of 80; among women in big...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/295G06F40/186G06K9/62G16H50/20
CPCG06F40/295G06F40/186G16H50/20G06F18/22
Inventor 杜雅莹张佳乐骆汉宾李兴睿库什
Owner HUAZHONG UNIV OF SCI & TECH