Robotics & Machine Learning Daily News2024,Issue(Sep.19) :21-22.

Findings from First People’s Hospital Yields New Findings on Medulloblastoma (Mu ltiparametric Mri-based Interpretable Radiomics Machine Learning Model Different iates Medulloblastoma and Ependymoma In Children: a Two-center Study)

Robotics & Machine Learning Daily News2024,Issue(Sep.19) :21-22.

Findings from First People’s Hospital Yields New Findings on Medulloblastoma (Mu ltiparametric Mri-based Interpretable Radiomics Machine Learning Model Different iates Medulloblastoma and Ependymoma In Children: a Two-center Study)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Oncology - Medulloblasto ma have been published. According to news originating from Xinjiang, People’s Re public of China, by NewsRx correspondents, research stated, “Medulloblastoma (MB ) and Ependymoma (EM) in children, share similarities in age group, tumor locati on, and clinical presentation. Distinguishing between them through clinical diag nosis is challenging.” Financial supporters for this research include National Key R&D Pro gram of China, Tianshan Innovation Team Program of Autonomous Region, Tianshan T alent Training Program: the Youth Support Talent Project.

Key words

Xinjiang/People’s Republic of China/As ia/Cancer/Cyborgs/Diagnostics and Screening/Emerging Technologies/Ependymom as/Health and Medicine/Machine Learning/Medulloblastoma/Oncology/Support Ve ctor Machines/Vector Machines/First People’s Hospital

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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