首页|Department of Radiology Reports Findings in Glioblastomas (Machine learning-base d nomogram for distinguishing between supratentorial extraventricular ependymoma and supratentorial glioblastoma)
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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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.
GuangxiPeople's Republic of ChinaAsiaCancerCyborgsEmerging TechnologiesEpendymomasGlioblastomasHealth an d MedicineMachine LearningOncology
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