Progressive multi-atlas label fusion by dictionary evolution

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• 作者：Yantao Song^a ; ^b ; ^{yantaosong@hotmail.com} ; Guorong Wu^b ; Khosro Bahrami^b ; Quansen Sun^a ; Dinggang Shen ; ^b ; ^c ; ^{dgshen@med.unc.edu}
• 关键词：Brain MRI ; Sparse representation ; Hippocampus ; Label fusion ; Multi-atlas
• 刊名：Medical Image Analysis
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：36
• 期：Complete
• 页码：162-171
• 全文大小：2041 K
• 卷排序：36

文摘

A progressive multi-atlas label fusion method by deep dictionary evolution is proposed. A sequence of intermediate dictionaries was constructed to progressively optimize the weights for label fusion. As an extension of the conventional single-layer methods by improving their label fusion performance.