首页|New Computational Intelligence Findings from Nanjing University of Posts and Tel ecommunications Reported (Rssl: a Unified Reliability-aware Semi-supervised Lear ning Framework for Medical Image Classification)

New Computational Intelligence Findings from Nanjing University of Posts and Tel ecommunications Reported (Rssl: a Unified Reliability-aware Semi-supervised Lear ning Framework for Medical Image Classification)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g originating in Nanjing, People’s Republic of China, by NewsRx journalists, res earch stated, “Semi-supervised learning (SSL) is emerging as the dominant paradi gm in medical image analysis, which can leverage abundant unlabeled data under t he assumption of the same distribution with labeled data. However, out-of-distri bution (OOD) unlabeled data are ubiquitous in clinical practice, often originati ng from diverse populations, devices, and settings.”

NanjingPeople’s Republic of ChinaAsi aComputational IntelligenceEmerging TechnologiesMachine LearningSupervis ed LearningNanjing University of Posts and Telecommunications

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.1)