Robotics & Machine Learning Daily News2024,Issue(Nov.29) :113-113.

Data on Prostate Cancer Reported by Kemal Panc and Colleagues (Enhancing bone me tastasis prediction in prostate cancer using quantitative mpMRI features, ISUP g rade and PSA density: a machine learning approach)

Kemal Panc及其同事报告的前列腺癌数据(使用定量mpMRI特征、ISUP G Rade和PSA密度增强前列腺癌骨转移预测:机器学习方法)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :113-113.

Data on Prostate Cancer Reported by Kemal Panc and Colleagues (Enhancing bone me tastasis prediction in prostate cancer using quantitative mpMRI features, ISUP g rade and PSA density: a machine learning approach)

Kemal Panc及其同事报告的前列腺癌数据(使用定量mpMRI特征、ISUP G Rade和PSA密度增强前列腺癌骨转移预测:机器学习方法)

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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-前列腺癌是一篇报道的主题。根据来自土耳其Elazig的新闻报道,由NewsRx编辑撰写,研究表明:“骨转移是一个关键问题。”前列腺癌并发症严重影响患者的预后和生活质量。本研究目的利用机器学习(ML)技术,结合动态学习技术,提高骨转移预测能力增强磁共振成像(DCE-MRI)灌注特征泌尿系统病理学(ISUP)级,前列腺特异性抗原(PSA)密度。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Prostate Ca ncer is the subject of a report. According tonews reporting out of Elazig, Turk ey, by NewsRx editors, research stated, “Bone metastasis is a criticalcomplicat ion in prostate cancer, significantly impacting patient prognosis and quality of life. This studyaims to enhance bone metastasis prediction using machine learn ing (ML) techniques by integrating dynamiccontrast-enhanced magnetic resonance imaging (DCE-MRI) perfusion features, International Society ofUrological Pathol ogy (ISUP) grade, and prostate-specific antigen (PSA) density.”

Key words

Elazig/Turkey/Eurasia/Bone Research/Cancer/Cyborgs/Emerging Technologies/Enzymes and Coenzymes/Health and Medici ne/Machine Learning/Oncology/Prostate Cancer/Prostate-Specific Antigen/Pros tatic Neoplasms

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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