Context-Based Classification of Cell Nuclei and Tissue Regions in Liver Histopathology

This paper presents a novel technique for classifying both cell nuclei and tissue regions in liver specimens by incorporating context information, linking cell nuclei and tissue regions using Bayesian networks. The method works in two stages: (i) initial classification of cell nuclei and tissue regions; and (ii) integrating the initial classifications using a Bayesian network to enforce consistancy (thus including context). Results demonstrate that our method of incorporating context information is superior to the classification that uses only object based features for both nucleus and region classification.