Robotics & Machine Learning Daily News2024,Issue(Nov.11) :54-55.

Third Affiliated Hospital of Kunming Medical University ReportsFindings in Arti ficial Intelligence (An artificial intelligence algorithm for the detection of p ulmonary ground-glass nodules on spectral detector CT: performance on virtual .. .)

昆明医科大学附属第三医院报道人工智能的发现(一种在光谱探测器CT上检测肺磨玻璃结节的人工智能算法:虚拟的性能。 .)

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :54-55.

Third Affiliated Hospital of Kunming Medical University ReportsFindings in Arti ficial Intelligence (An artificial intelligence algorithm for the detection of p ulmonary ground-glass nodules on spectral detector CT: performance on virtual .. .)

昆明医科大学附属第三医院报道人工智能的发现(一种在光谱探测器CT上检测肺磨玻璃结节的人工智能算法:虚拟的性能。 .)

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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新闻-人工智能的新研究是一份报告的主题。根据新闻报道中华人民共和国昆明,NewsRx编辑,研究称,“这项研究旨在评估体育锻炼的效果。”基于多色ct的人工智能算法的性能(CT)图像(CPIs)在虚拟单色图像上检测肺磨玻璃结节s(GGNs)(VMIs),筛选出临床评价GGNs的最佳单色性能量。2022年1月~2005年我院肺GGN患者胸部SDCT平扫影像分析2022年12月连续收集:原位腺癌(AIS,n=40);微创腺癌(MIA,n=44)和侵袭性腺癌(IAC,n=46)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Artificial Intelligence is the su bject of a report. According to news reporting out ofKunming, People’s Republic of China, by NewsRx editors, research stated, “This study aims to assess the performance of an established an AI algorithm trained on conventional polychromati c computed tomography(CT) images (CPIs) to detect pulmonary ground-glass nodule s (GGNs) on virtual monochromatic images(VMIs), and to screen the optimal virtu al monochromatic energy for the clinical evaluation of GGNs.Non-enhanced chest SDCT images of patients with pulmonary GGNs in our clinic from January 2022 toD ecember 2022 were continuously collected: adenocarcinoma in situ (AIS, n = 40); minimally invasiveadenocarcinoma (MIA, n = 44) and invasive adenocarcinoma (IAC , n = 46).”

Key words

Kunming/People’s Republic of China/Asi a/Adenocarcinoma/Algorithms/Artificial Intelligence/Cancer/Diagnostics and Screening/Emerging Technologies/Health and Medicine/Machine Learning/Oncology.

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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