Report Summarizes Machine Learning Study Findings from Azienda Ospedaliero Unive rsitaria di Parma (Robust Machine Learning Challenge: an Aifm Multicentric Compe tition To Spread Knowledge, Identify Common Pitfalls and Recommend Best Practice )
报告总结了Azienda Ospedaliero Unive Rsitaria di Parma(Robust Machine Learning Challenge：Aifm多中心合作，以传播知识，识别常见陷阱并推荐最佳实践)的机器学习研究结果
Report Summarizes Machine Learning Study Findings from Azienda Ospedaliero Unive rsitaria di Parma (Robust Machine Learning Challenge: an Aifm Multicentric Compe tition To Spread Knowledge, Identify Common Pitfalls and Recommend Best Practice )
报告总结了Azienda Ospedaliero Unive Rsitaria di Parma(Robust Machine Learning Challenge：Aifm多中心合作，以传播知识，识别常见陷阱并推荐最佳实践)的机器学习研究结果
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Parma, Italy, by News Rx journalists, research stated, “A novel and unconventional approachto a machi ne learning challenge was designed to spread knowledge, identify robust methods and highlightpotential pitfalls about machine learning within the Medical Physi cs community. A public datasetcomprising 41 radiomic features and 535 patients was employed to assess the potential of radiomics indistinguishing between prim ary lung tumors and metastases.”
Key words
Parma/Italy/Europe/Cyborgs/Emerging Technologies/Machine Learning/Azienda Ospedaliero Universitaria di Parma
NETL
NSTL