Visual learning and classification of human epithelial type 2 cell images through spontaneous activity patterns
作者：
Highlights：
• We propose a novel HEp-2 cell classification system inspired by biological vision.
• We apply similar patterns to the spontaneous neural activities of new born animals.
• A generative model of spontaneous activity patterns is proposed.
• Mixing spontaneous activity patterns with cell images leads to a more robust model.
摘要
Highlights•We propose a novel HEp-2 cell classification system inspired by biological vision.•We apply similar patterns to the spontaneous neural activities of new born animals.•A generative model of spontaneous activity patterns is proposed.•Mixing spontaneous activity patterns with cell images leads to a more robust model.
论文关键词：HEp-2 cells classification,Independent component analysis,Indirect immunofluorescence,Anti-nuclear antibody test,Computer aided diagnostic,Biologically inspired computer vision
论文评审过程：Available online 19 October 2013.
论文官网地址：https://doi.org/10.1016/j.patcog.2013.10.013
