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Reinforced Collaborative-Competitive Representation for Biomedical Image Recognition.
Interdiscip Sci
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Institute for Complexity Science, Henan University of Technology, Zhengzhou, 450001, China.
Artificial intelligence technology has demonstrated remarkable diagnostic efficacy in modern biomedical image analysis. However, the practical application of artificial intelligence is significantly limited by the presence of similar pathologies among different diseases and the diversity of pathologies within the same disease. To address this issue, this paper proposes a reinforced collaborative-competitive representation classification (RCCRC) method.
View Article and Find Full Text PDFThe publication fate of abstracts awarded prizes at European Society of Paediatric Radiology annual scientific meetings.
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Background: The European Society of Paediatric Radiology (ESPR) awards prizes for outstanding work presented at their annual scientific meetings. The proportion of ESPR prize-winning abstracts to journal publications is not known. Contextualising abstract-to-publication proportions by evaluating publication experience can yield valuable insights and actionable outcomes to support researchers in overcoming barriers to journal publication.
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