Robotics & Machine Learning Daily News2024,Issue(Nov.13) :14-15.

First Affiliated Hospital of Chongqing Medical University Reports Findings in Bl adder Cancer (A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study)

重庆医科大学第一附属医院报告膀胱癌的发现(一项基于放射学的可解释机器学习模型预测膀胱癌中HER2状态:多中心研究)

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :14-15.

First Affiliated Hospital of Chongqing Medical University Reports Findings in Bl adder Cancer (A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study)

重庆医科大学第一附属医院报告膀胱癌的发现(一项基于放射学的可解释机器学习模型预测膀胱癌中HER2状态:多中心研究)

扫码查看

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-膀胱癌是一篇报道的主题。根据NewsRx编辑在中华人民共和国重庆的新闻报道,研究称,“To”基于(CT)放射学的可解释机器学习(ML)型ct机膀胱癌(BCa)中人表皮生长因子受体2(HER2)状态的术前预测多中心验证。在这项回顾性研究中,207例经病理证实的BCa患者被纳入并分为训练集(n=154)和测试集(n=53)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Bladder Can cer is the subject of a report. According tonews reporting out of Chongqing, Pe ople’s Republic of China, by NewsRx editors, research stated, “Todevelop a comp uted tomography (CT) radiomics-based interpretable machine learning (ML) model t opreoperatively predict human epidermal growth factor receptor 2 (HER2) status in bladder cancer (BCa)with multicenter validation. In this retrospective study , 207 patients with pathologically confirmed BCawere enrolled and divided into the training set (n = 154) and test set (n = 53).”

Key words

Chongqing/People’s Republic of China/A sia/Bladder Cancer/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning/Oncology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文