HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network
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DOI: 10.1109/tmi.2017.2672702
Abstract: Reliable identification of Human Epithelial-2 (HEp-2) cell patterns can facilitate the diagnosis of systemic autoimmune diseases. However, traditional approach requires experienced experts to manually recognize the cell patterns, which suffers from the inter-observer variability. In… read more here.
Keywords: hep specimen; network; segmentation; fully convolutional ... See more keywords