Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images

M. Veta; A. Huisman; M. A. Viergever; P. J. Van Diest; J. P W Pluim

doi:10.1109/ISBI.2011.5872483

Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images

M. Veta, A. Huisman, M. A. Viergever, P. J. Van Diest, J. P W Pluim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

55 Scopus citations

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 (US)
Title of host publication	Proceedings - International Symposium on Biomedical Imaging
Pages	618-621
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2011.5872483
State	Published - 2011
Externally published	Yes
Event	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: Mar 30 2011 → Apr 2 2011

Other

Other	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/Territory	United States
City	Chicago, IL
Period	3/30/11 → 4/2/11

Keywords

breast cancer
histology images
Marker-controlled watershed
nuclei segmentation

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

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10.1109/ISBI.2011.5872483

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Veta, M, Huisman, A, Viergever, MA, Van Diest, PJ & Pluim, JPW 2011, Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images. in Proceedings - International Symposium on Biomedical Imaging., 5872483, pp. 618-621, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 3/30/11. https://doi.org/10.1109/ISBI.2011.5872483

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title = "Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images",

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.",

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author = "M. Veta and A. Huisman and Viergever, {M. A.} and {Van Diest}, {P. J.} and Pluim, {J. P W}",

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AU - Huisman, A.

AU - Viergever, M. A.

AU - Van Diest, 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.

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.

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KW - histology images

KW - Marker-controlled watershed

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BT - Proceedings - International Symposium on Biomedical Imaging

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Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images

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Keywords

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