A Classification Scheme for Lymphocyte Segmentation in H&E Stained Histology Images

Kuse M., Sharma T., Gupta S.

20th International Conference on Pattern Recognition Conference, İstanbul, Turkey, 23 - 26 April 2010, vol.6388, pp.235-243 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 6388
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.235-243
  • Istanbul Technical University Affiliated: No


A technique for automating the detection of lymphocytes in histopathological images is presented. The proposed system takes Hematoxylin and Eosin (H&E) stained digital color images as input to identify lymphocytes. The process involves segmentation of cells from extracellular matrix, feature extraction, classification and overlap resolution. Extracellular matrix segmentation is a two step process carried out on the HSV-equivalent of the image, using mean shift based clustering for color approximation followed by thresholding in the FIST space. Texture features extracted from the cells are used to train a SVM classifier that; is used to classify lymphocytes and non-lymphocytes. A contour based overlap resolution technique is used to resolve overlapping lymphocytes.