An automatic immunofluorescence pattern classification framework for HEp-2 image based on supervised learning.
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DOI: 10.1093/bib/bbad144
Abstract: Immunofluorescence patterns of anti-nuclear antibodies (ANAs) on human epithelial cell (HEp-2) substrates are important biomarkers for the diagnosis of autoimmune diseases. There are growing clinical requirements for an automatic readout and classification of ANA immunofluorescence… read more here.
Keywords: classification; supervised learning; framework; automatic immunofluorescence ... See more keywords