Guangzhou Red Cross Hospital Reports Findings in Breast Cancer (MRI-based radiom ic and machine learning for prediction of lymphovascular invasion status in brea st cancer)
Guangzhou Red Cross Hospital Reports Findings in Breast Cancer (MRI-based radiom ic and machine learning for prediction of lymphovascular invasion status in brea st cancer)
广州红十字会医院报告乳腺癌的发现(基于mri的放射免疫和机器学习预测乳腺癌淋巴血管浸润状态)
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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-肿瘤学新研究-乳腺癌是一篇报道的主题。根据研究称，NewsRx记者从中华人民共和国广东进行的新闻报道，淋巴血管浸润(LVI)对乳腺癌有效治疗及预后至关重要(BC).本研究旨在探讨基于MRI影像学的八种机器学习模型的应用价值术前预测BC LVI Stat US的特点。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Breast Canc er is the subject of a report. Accordingto news reporting from Guangdong, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Lymphovascular i nvasion (LVI) is critical for the effective treatment and prognosis of breast ca ncer(BC). This study aimed to investigate the value of eight machine learning m odels based on MRI radiomicfeatures for the preoperative prediction of LVI stat us in BC.”
Key words
Guangdong/People’s Republic of China/A sia/Breast Cancer/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning/Oncology/Women’s Health
NETL
NSTL