Leukocyte classification in skin tissue images

Abstract

Automated leukocyte classification can assist histopathologist for quantifying inflammatory cells in microscopic images. Most of the work for classification of leukocytes have been done on blood smear or immunohistochemically (IHC) stained or immunofluroscence (IF) stained tissue section images. But rare work have been initiated till date to automate identification of inflammatory cells in the tissue section images stained with routinely used Hematoxylin and Eosin (H and E) staining. This is due to the coarse background and availability of different artifacts in the tissue section images. Therefore, in this paper, an automated method for classification of inflammatory cells into monomorphonuclear cells and polymorphonuclear cells for H and E stained skin tissue section images has been presented. © 2013 Springer.