Identifying Neutrophils in H&E Staining Histology Tissue Images
Identifying neutrophils lays a crucial foundation for diagnosing acute inflammation diseases. But, such computerized methods on the commonly used H&E staining histology tissue images are lacking, due to various inherent difficulties of identifying cells in such image modality and the challenge that a considerable portion of neutrophils do not have a “textbook” appearance. In this paper, we propose a new method for identifying neutrophils in H&E staining histology tissue images. We first segment the cells by applying iterative edge labeling, and then identify neutrophils based on the segmentation results by considering the “context” of each candidate cell constructed by a new Voronoi diagram of clusters of other neutrophils. We obtain good performance compared with two baseline algorithms we constructed, on clinical images collected from patients suspected of having inflammatory bowl diseases.
KeywordsSegmentation Result Voronoi Diagram Hard Case Probability Output Training Region
- 3.Hiremath, P., Bannigidad, P., Geeta, S.: Automated identification and classification of white blood cells (leukocytes) in digital microscopic images. IJCA, Special Issue on RTIPPR (2), 59–63 (2010)Google Scholar
- 5.Jatti, A., Urs, V.M.: Review paper of conventional analysis of cell smear under a microscope. IJIRD 3(2) (2013)Google Scholar
- 7.Okabe, A., Boots, B., Sugihara, K., Chiu, S.N.: Spatial Tessellations: Concepts and Applications of Voronoi Diagrams. Wiley (2000)Google Scholar
- 8.Saraswat, M., Arya, K.: Leukocyte classification in skin tissue images. In: Bansal, J.C., Singh, P.K., Deep, K., Pant, M., Nagar, A.K. (eds.) BIC-TA 2013. AISC, vol. 201, pp. 65–73. Springer, Heidelberg (2013)Google Scholar
- 9.Szeliski, R., Zabih, R., Scharstein, D., Veksler, O., Kolmogorov, V., Agarwala, A., Tappen, M., Rother, C.: A comparative study of energy minimization methods for Markov random fields. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 16–29. Springer, Heidelberg (2006)CrossRefGoogle Scholar