Integrative blockwise sparse analysis for tissue characterization and classification
作者：
Highlights：
• Integrative sparse coding and classification method.
• Decision function for ensemble classification based on relative sparsity.
• More sparse and regularized solutions compared to conventional sparse representation.
• Performance evaluation for osteoporosis diagnosis and breast lesion characterization.
• Method can be applied to diagnosis of other diseases with minor adjustments.
摘要
•Integrative sparse coding and classification method.•Decision function for ensemble classification based on relative sparsity.•More sparse and regularized solutions compared to conventional sparse representation.•Performance evaluation for osteoporosis diagnosis and breast lesion characterization.•Method can be applied to diagnosis of other diseases with minor adjustments.
论文关键词：Sparse representation,Ensemble classifiers,Computer-aided diagnosis
论文评审过程：Received 8 May 2019, Revised 29 January 2020, Accepted 23 May 2020, Available online 1 June 2020, Version of Record 12 June 2020.
论文官网地址：https://doi.org/10.1016/j.artmed.2020.101885
