Abstract
In this paper we present an unsupervised automatic method for segmentation of nuclei in H&E stained breast cancer biopsy images. Colour deconvolution and morphological operations are used to preprocess the images in order to remove irrelevant structures. Candidate nuclei locations, obtained with the fast radial symmetry transform, act as markers for a marker-controlled watershed segmentation. Watershed regions that are unlikely to represent nuclei are removed in the postprocessing stage. The proposed algorithm is evaluated on a number of images that are representative of the diversity in pathology in this type of tissue. The method shows good performance in terms of the number of segmented nuclei and segmentation accuracy.
Original language | English |
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Title of host publication | 2011 8th IEEE International Symposium on Biomedical Imaging |
Subtitle of host publication | From Nano to Macro, ISBI'11 |
Pages | 618-621 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2 Nov 2011 |
Event | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: 30 Mar 2011 → 2 Apr 2011 |
Conference
Conference | 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 |
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Country/Territory | United States |
City | Chicago, IL |
Period | 30/03/11 → 2/04/11 |
Keywords
- breast cancer
- histology images
- Marker-controlled watershed
- nuclei segmentation