Robotics & Machine Learning Daily News2024,Issue(Aug.28) :62-63.

Food and Drug Administration Reports Findings in Machine Learning (Exploring syn thetic datasets for computer-aided detection: a case study using phantom scan da ta for enhanced lung nodule false positive reduction)

Robotics & Machine Learning Daily News2024,Issue(Aug.28) :62-63.

Food and Drug Administration Reports Findings in Machine Learning (Exploring syn thetic datasets for computer-aided detection: a case study using phantom scan da ta for enhanced lung nodule false positive reduction)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Silver Spring, Marylan d, by NewsRx editors, research stated, “Synthetic datasets hold thepotential to offer cost-effective alternatives to clinical data, ensuring privacy protection s and potentiallyaddressing biases in clinical data. We present a method levera ging such datasets to train a machinelearning algorithm applied as part of a co mputer-aided detection (CADe) system.”

Key words

Silver Spring/Maryland/United States/North and Central America/Computers/Cyborgs/Emerging Technologies/Machine Le arning/U.S. Food and Drug Administration

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