Robotics & Machine Learning Daily News2024,Issue(Dec.4) :202-202.

Fudan University Reports Findings in Carcinomas (MRI-based radiomics machine lea rning model to differentiate non-clear cell renal cell carcinoma from benign ren al tumors)

复旦大学报道肿瘤的发现(基于MRI的放射组学机器LEA模型鉴别肾透明细胞癌和良性肾肿瘤)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :202-202.

Fudan University Reports Findings in Carcinomas (MRI-based radiomics machine lea rning model to differentiate non-clear cell renal cell carcinoma from benign ren al tumors)

复旦大学报道肿瘤的发现(基于MRI的放射组学机器LEA模型鉴别肾透明细胞癌和良性肾肿瘤)

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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-肿瘤学的新研究-癌症是一篇报道的主题。据新闻报道NewsRx记者从中华人民共和国福建报道,研究称,“我们的目标是开发一种基于MRI的放射组学模型,以提高鉴别非CRCC的准确性。”良性肾肿瘤的手术前。195例病理闭塞的回顾性研究术前接受肾脏手术证实的肾脏肿瘤(134例非ccrcc和61例良性肾脏肿瘤)质量协议MRI检查"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Carcinomas is the subject of a report. According to newsreporting originating from Fujian, People’s Republic of China, by NewsRx correspondents, research stated,“We aim to develop an MRI-based radiomics model to improve the accuracy of differentiati ng non-ccRCCfrom benign renal tumors preoperatively. The retrospective study in cluded 195 patients with pathologicallyconfirmed renal tumors (134 non-ccRCCs a nd 61 benign renal tumors) who underwent preoperative renalmass protocol MRI ex aminations.”

Key words

Fujian/People’s Republic of China/Asia/Cancer/Carcinomas/Cyborgs/Emerging Technologies/Health and Medicine/Kidne y/Machine Learning/Nephrology/Oncology/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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