Robotics & Machine Learning Daily News2024,Issue(Dec.4) :81-82.

Department of Radiology Reports Findings in Artificial Intelligence (A Systemati c Review of the Diagnostic Accuracy of Deep Learning Models for the Automatic De tection, Localization, and Characterization of Clinically Significant Prostate . ..)

放射科报告了人工智能的发现(深度学习模型在自动检测、定位和表征临床意义前列腺方面的诊断准确性的系统回顾。 ..)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :81-82.

Department of Radiology Reports Findings in Artificial Intelligence (A Systemati c Review of the Diagnostic Accuracy of Deep Learning Models for the Automatic De tection, Localization, and Characterization of Clinically Significant Prostate . ..)

放射科报告了人工智能的发现(深度学习模型在自动检测、定位和表征临床意义前列腺方面的诊断准确性的系统回顾。 ..)

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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-人工智能的新研究e是一个报告的主题。据新闻报道NewsRx记者在法国斯特拉斯堡的报道,研究称,“磁共振”(MRI)显像在前列腺癌诊断中起着关键作用,但在解释方面受到可变因素的限制以及诊断的准确性。本系统综述评价了深度学习(DL)模型在增强临床意义前列腺的自动检测、定位和表征方面的现状MRI上的癌症(csPCa)"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting originating in Strasbo urg, France, by NewsRx journalists, research stated, “Magnetic resonanceimaging (MRI) plays a critical role in prostate cancer diagnosis, but is limited by var iability in interpretationand diagnostic accuracy. This systematic review evalu ates the current state of deep learning (DL) models in enhancing the automatic d etection, localization, and characterization of clinically significant prostatecancer (csPCa) on MRI.”

Key words

Strasbourg/France/Europe/Artificial I ntelligence/Cancer/Diagnostics and Screening/Emerging Technologies/Health an d Medicine/Machine Learning/Magnetic Resonance/Oncology/Prostate Cancer/Pro static Neoplasms

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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