Abstract
| Language | English |
|---|---|
| Title of host publication | Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro ( ISBI'11), 30 March 2011 through 2 April 2011, Chicago, IL |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 618-621 |
| ISBN (Print) | 978-1-4244-4128-0 |
| DOIs | |
| State | Published - 2011 |
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Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images. / Veta, M.; Huisman, A.; Viergever, M.A.; Diest, van, P.J.; Pluim, J.P.W.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro ( ISBI'11), 30 March 2011 through 2 April 2011, Chicago, IL. Piscataway : Institute of Electrical and Electronics Engineers, 2011. p. 618-621.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images
AU - Veta,M.
AU - Huisman,A.
AU - Viergever,M.A.
AU - Diest, van,P.J.
AU - Pluim,J.P.W.
PY - 2011
Y1 - 2011
N2 - 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. © 2011 IEEE.
AB - 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. © 2011 IEEE.
U2 - 10.1109/ISBI.2011.5872483
DO - 10.1109/ISBI.2011.5872483
M3 - Conference contribution
SN - 978-1-4244-4128-0
SP - 618
EP - 621
BT - Proceedings of the 8th IEEE International Symposium on Biomedical Imaging : From Nano to Macro ( ISBI'11), 30 March 2011 through 2 April 2011, Chicago, IL
PB - Institute of Electrical and Electronics Engineers
CY - Piscataway
ER -