Robotics & Machine Learning Daily News2024,Issue(Dec.31) :17-18.

University Medical Center Hamburg-Eppendorf Reports Findings in Machine Learning (Transferable automatic hematological cell classification: Overcoming data limi tations with self-supervised learning)

Robotics & Machine Learning Daily News2024,Issue(Dec.31) :17-18.

University Medical Center Hamburg-Eppendorf Reports Findings in Machine Learning (Transferable automatic hematological cell classification: Overcoming data limi tations with self-supervised learning)

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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 originating in Hamburg, Germa ny, by NewsRx journalists, research stated, “Classification ofperipheral blood and bone marrow cells is critical in the diagnosis and monitoring of hematologic al disorders.The development of robust and reliable automatic classification sy stems is hampered by data scarcity andlimited model generalizability across lab oratories.”

Key words

Hamburg/Germany/Europe/Bone Marrow/B one Research/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learn ing/Supervised Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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