Robotics & Machine Learning Daily News2024,Issue(Dec.3) :181-182.

Jiangxi Cancer Hospital Reports Findings in Thyroid Neoplasms (Model Based on Ul trasound Radiomics and Machine Learning to Preoperative Differentiation of Folli cular Thyroid Neoplasm)

江西省肿瘤医院报告甲状腺肿瘤的发现(基于超声放射组学和机器学习的滤泡甲状腺肿瘤术前鉴别模型)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :181-182.

Jiangxi Cancer Hospital Reports Findings in Thyroid Neoplasms (Model Based on Ul trasound Radiomics and Machine Learning to Preoperative Differentiation of Folli cular Thyroid Neoplasm)

江西省肿瘤医院报告甲状腺肿瘤的发现(基于超声放射组学和机器学习的滤泡甲状腺肿瘤术前鉴别模型)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-甲状腺疾病和疾病的新研究-甲状腺肿瘤是本刊的主题报告根据NewsRx记者从南昌发回的新闻报道,研究表明:“评价基于超声的放射组学在鉴别卵泡中的价值。”甲状腺癌(FTC)和滤泡性甲状腺腺瘤(FTA)及其术前评估工具的构建非侵入性预测FTC和FTA。389例诊断冠心病的临床资料及超声影像回顾性分析了自2017年1月以来在3家机构手术治疗FTC或FTA的情况。2023年12月。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Thyroid Diseases and C onditions - Thyroid Neoplasms is the subject ofa report. According to news repo rting from Nanchang, People’s Republic of China, by NewsRx journalists,research stated, “To evaluate the value of radiomics based on ultrasonography in differe ntiating follicularthyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) and construct a tool for preoperativenoninvasive predicting FTC and FTA. The c linical data and ultrasound images of 389 patients diagnosedwith FTC or FTA pos toperatively were retrospectively analyzed at 3 institutions from January 2017 t oDecember 2023.”

Key words

Nanchang/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Endocrine Gland Neoplasms/Endocrine System Diseases and Conditions/Health and Medicine/Machine Learning/Thyroid Diseases and Conditions/Thyroid Neoplasms

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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