FDSR: A new fuzzy discriminative sparse representation method for medical image classification
作者：
Highlights：
• Introducing a novel fuzzy discriminative optimization function.
• Class discrimination improvement by increasing inter-/intra-class distance/similarity.
• Applying an adaptive fuzzy learning approach to train the dictionary atoms.
• Using the fuzzy discriminative dictionary learning in a medical image classifier.
摘要
•Introducing a novel fuzzy discriminative optimization function.•Class discrimination improvement by increasing inter-/intra-class distance/similarity.•Applying an adaptive fuzzy learning approach to train the dictionary atoms.•Using the fuzzy discriminative dictionary learning in a medical image classifier.
论文关键词：Discriminative sparse representation,Fuzzy dictionary learning,Medical image classification,Inter-class difference,Intra-class similarity
论文评审过程：Received 16 March 2020, Accepted 2 May 2020, Available online 25 May 2020, Version of Record 5 June 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101876
