首页|Investigators at University of Rouen Normandy Detail Findings in Machine Learnin g (A Review of Uncertainty Quantification In Medical Image Analysis: Probabilist ic and Non-probabilistic Methods)
Investigators at University of Rouen Normandy Detail Findings in Machine Learnin g (A Review of Uncertainty Quantification In Medical Image Analysis: Probabilist ic and Non-probabilistic Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting originating in Rouen, France, by Ne wsRx journalists, research stated, "The comprehensive integration of machine lea rning healthcare models within clinical practice remains suboptimal, notwithstan ding the proliferation of high -performing solutions reported in the literature. A predominant factor hindering widespread adoption pertains to an insufficiency of evidence affirming the reliability of the aforementioned models." Financial supporters for this research include National University of Singapore, NUS-JSPS Joint Research Project, Agency for Science Technology & Research (A*STAR), CISCO Systems (USA) Pte. Ltd.
RouenFranceEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Rouen Normandy
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