Robotics & Machine Learning Daily News2024,Issue(Oct.7) :100-101.

Department of Radiology Reports Findings in Glioblastomas (Machine learning-base d nomogram for distinguishing between supratentorial extraventricular ependymoma and supratentorial glioblastoma)

Robotics & Machine Learning Daily News2024,Issue(Oct.7) :100-101.

Department of Radiology Reports Findings in Glioblastomas (Machine learning-base d nomogram for distinguishing between supratentorial extraventricular ependymoma and supratentorial glioblastoma)

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Abstract

New research on Oncology -Glioblastom as is the subject of a report. According to news originating from Guangxi, Peopl e's Republic of China, by NewsRx correspondents, research stated, "To develop a machine learning-based nomogram for distinguishing between supratentorial extrav entricular ependymoma (STEE) and supratentorial glioblastoma (GBM). We conducted a retrospective analysis on MRI datasets obtained from 140 patients who were di agnosed with STEE (n=48) and GBM (n=92) from two institutions." Financial support for this research came from Guangxi Zhuang Autonomous Region H ealth Department.

Key words

Guangxi/People's Republic of China/Asia/Cancer/Cyborgs/Emerging Technologies/Ependymomas/Glioblastomas/Health an d 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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