Heterogeneous data analysis: Online learning for medical-image-based diagnosis

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• 作者：Yuichi Motai^a ; ¹Author Vitae ; Nahian Alam Siddique^a ; ¹Author Vitae ; Hiroyuki Yoshida^b ; ²Author Vitae
• 关键词：Online learning ; Computed tomographic colonography ; Heterogeneous data analysis ; Kernel feature analysis ; Computer-aided detection ; Principal composite kernel feature analysis
• 刊名：Pattern Recognition
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：63
• 期：Complete
• 页码：612-624
• 全文大小：1252 K
• 卷排序：63

文摘

Proposes a method of Online Principal Composite Kernel Feature Analysis. Develops Heterogeneous Big Data Associations to improve data quality. Compares Online and Office Learning for Computer-Aided Detection of cancer polyps. Implements online diagnosis with long-term sequential datasets. Evaluates the resulting data quality and computational time.