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Diagnostic Pathology
Published in: Diagnostic Pathology 1/2013

Open Access 01-09-2013 | Proceedings

Cell nuclei extraction from breast cancer histopathologyimages using colour, texture, scale and shape information

Authors: Antoine Veillard, Maria S Kulikova, Daniel Racoceanu

Published in: Diagnostic Pathology | Special Issue 1/2013

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Excerpt

Standard cancer diagnosis and prognosis procedures such as the Nottingham Grading System for breast cancer incorporate a criterion based on cell morphology known as cytonuclear atypia. Therefore, algorithms able to precisely extract the cell nuclei are a requirement in computer-aided diagnosis applications. …
Literature
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Ruifrok AC, Johnston DA: Quantification of histochemical staining by color deconvolution. Analytical and Quantitative Cytology and Histology. 2001, 23: 291-299.PubMed
2.
Laws K: Textured image segmentation. PhD thesis. 1980, University of Southern California
3.
Kulikova M, Jermyn I, Descombes X, Zhizhina E, Zerubia J: A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects. Proc. Signal-Image Technology and Internet-Based Systems. 2009
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Descombes X, Minlos R, Zhizhina E: Object extractionusing a stochastic birth-and-death dynamics in continuum. J. Math. Imaging Vis. 2009, 33 (3): 347-359. 10.1007/s10851-008-0117-y.CrossRef
5.
Kulikova MS, Veillard A, Roux L, Racoceanu D: Nuclei extraction from histopathological images using a marked point process approach. Proc. SPIE Medical Imaging, San Diego, California, USA. 2012
6.
Dalle J, Li H, Huang CH, Leow W, Racoceanu D, Putti TC: Nuclear pleomorphism scoring by selective cell nuclei detection. Proc. Workshop on Applications of Computer Vision. 2009
Metadata
Title
Cell nuclei extraction from breast cancer histopathologyimages using colour, texture, scale and shape information
Authors
Antoine Veillard
Maria S Kulikova
Daniel Racoceanu
Publication date
01-09-2013
Publisher
BioMed Central
Published in
Diagnostic Pathology / Issue Special Issue 1/2013
Electronic ISSN: 1746-1596
DOI
https://doi.org/10.1186/1746-1596-8-S1-S5

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