Reports from AGH University of Science and Technology Advance Knowledge in Machine Learning (Differentiating Age and Sex In Vertebral Body Ct Scans - Texture Analysis Versus Deep Learning Approach)

Robotics & Machine Learning Daily News2024，Issue(Feb.20) ：62-62.DOI:10.1016/j.bbe.2023.11.002

来源：

NETL
NSTL
Elsevier

Reports from AGH University of Science and Technology Advance Knowledge in Machine Learning (Differentiating Age and Sex In Vertebral Body Ct Scans - Texture Analysis Versus Deep Learning Approach)

扫码查看

Abstract

2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news originating from Krakow, Poland, by NewsRx correspondents, research stated, “The automated analysis of computed tomography (CT) scans of vertebrae, for the purpose of determining an individual’s age and sex constitutes a vital area of research. Accurate assessment of bone age in children facil-itates the monitoring of their growth and development.” Financial support for this research came from AGH University of Science and Technology, Faculty of EAIIB, KBIB.

Key words

Krakow/Poland/Europe/Bone Research/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning/AGH University of Science and Technology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

参考文献量52

段落导航