Robotics & Machine Learning Daily News2024,Issue(Jun.12) :110-111.

Department of Radiology Reports Findings in Breast Cancer (Predicting axillary lymph node metastasis in breast cancer patients: A radiomics-based multicenter ap proach with interpretability analysis)

放射科报告乳腺癌的发现(预测乳腺癌患者腋窝淋巴结转移:一项基于放射学的多中心可解释性分析研究)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :110-111.

Department of Radiology Reports Findings in Breast Cancer (Predicting axillary lymph node metastasis in breast cancer patients: A radiomics-based multicenter ap proach with interpretability analysis)

放射科报告乳腺癌的发现(预测乳腺癌患者腋窝淋巴结转移:一项基于放射学的多中心可解释性分析研究)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-肿瘤学的新研究-乳腺癌是一篇报道的主题。根据NewsRx记者来自中华人民共和国浙江的新闻报道,研究表明,“为了建立基于MRI的放射组学模型,”结合瘤内和瘤周信息预测乳腺癌腋窝淋巴结转移(ALNM),并通过可预测算法阐明模型的决策过程。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Oncology - Breast Canc er is the subject of a report. According to news reporting originating in Zhejia ng, People’s Republic of China, by NewsRx journalists, research stated, “To deve lop a MRI-based radiomics model, integrating the intratumoral and peritumoral im aging information to predict axillary lymph node metastasis (ALNM) in patients w ith breast cancer and to elucidate the model’s decision-making process via inter pretable algorithms. This study included 376 patients from three institutions who underwent contrast-enhanced breast MRI between 2021 and 2023.”

Key words

Zhejiang/People's Republic of China/Asia/Breast Cancer/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Hemic and Immune Systems/Immunology/Lymph Nodes/Lymphoid Tissue/Machine Lear ning/Oncology/Women's Health

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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