Identifying cells in histopathological images

Authors:
Jierong Cheng;Merlin Veronika;Jagath C. Rajapakse
Affiliations:
Computation and Systems Biology, Singapore-MIT Alliance, Singapore and BioInformatics Research Centre, Nanyang Technological University, Singapore;Computation and Systems Biology, Singapore-MIT Alliance, Singapore and BioInformatics Research Centre, Nanyang Technological University, Singapore;Computation and Systems Biology, Singapore-MIT Alliance, Singapore and BioInformatics Research Centre, Nanyang Technological University, Singapore and Department of Biological Engineering, Massach ...
Venue:
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Year:
2010

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Abstract

We present an image analysis pipeline for identifying cells in histopathology images of cancer. The analysis starts with segmentation using multi-phase level sets, which is insensitive to initialization and enables automatic detection of arbitrary objects. Morphological operations are used to remove small spots in the segmented images. The target cells are then identified based on their features. The detected cells were compared with the manual detection performed by pathologists. The quantitative evaluation shows promise and utility of our technique.