首页|University Medical Center Hamburg-Eppendorf Reports Findings in Machine Learning (Transferable automatic hematological cell classification: Overcoming data limi tations with self-supervised learning)
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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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.”
HamburgGermanyEuropeBone MarrowB one ResearchCyborgsEmerging TechnologiesHealth and MedicineMachine Learn ingSupervised Learning
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