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갑상선암 자동 판별 방법 및 시스템
专利权人:
THE ASAN FOUNDATION
发明人:
BAEK, JUNG HWANKR,백정환,SHIM, WOO HYUNKR,심우현,CHOI, YOUNG JUNKR,최영준
申请号:
KR1020140165481
公开号:
KR1020160062819A
申请日:
2014.11.25
申请国别(地区):
KR
年份:
2016
代理人:
摘要:
The present invention relates to a method and an apparatus for detecting a thyroid nodule with high accuracy by using ultrasound images, previous biopsy results, etc. The apparatus receives values of multiple factors from the ultrasound images automatically or manually and provides a more accurate and universal result by taking advantage of the previous biopsy results. The apparatus includes: an image extracting unit configured to extract the ultrasound image an image analyzing unit configured to detect the thyroid nodule in the ultrasound image and to operate values of multiple factors of the thyroid nodule a risk computing unit configured to retrieve a medical record from a database, to compute a degree of risk by a predetermined method using the values of the multiple factors and the medical record, and to determine whether the thyroid nodule is a predetermined shaped nodule if the computed degree of risk is above a preset reference a diagnosis information operating unit configured to determine whether the diameter of the nodule exceeds 1cm and an output unit configured to output a biopsy if the diameter of the nodule is above 1cm and output an observation if the diameter of the nodule is smaller than or equal to 1cm.COPYRIGHT KIPO 2016본 발명은 초음파 이미지와 이전 조직검사결과 등을 이용하여 정확도 높게 갑상선암 여부를 위험도로서 판별하는 방법과 시스템에 관한 것이다. 초음파 이미지로부터 다수의 팩터의 값을 자동 또는 수동으로 입력받으며, 이전 조직검사결과을 활용하여 정확도 높으며 보편성 있는 결과를 제공한다.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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