SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry

10.1109/ICMLA.2012.21

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Bibliographic Details
Main Authors:	Veillard, A., Bressan, S., Racoceanu, D.
Other Authors:	COMPUTER SCIENCE
Format:	Conference or Workshop Item
Published:	2013
Subjects:	breast cancer grading computer vision digital histopathology marked point process object detection and extraction support vector machine
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/41705
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-41705
record_format	dspace
spelling	sg-nus-scholar.10635-417052023-10-25T07:31:34Z SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry Veillard, A. Bressan, S. Racoceanu, D. COMPUTER SCIENCE breast cancer grading computer vision digital histopathology marked point process object detection and extraction support vector machine 10.1109/ICMLA.2012.21 Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 1 70-75 2013-07-04T08:33:47Z 2013-07-04T08:33:47Z 2012 Conference Paper Veillard, A., Bressan, S., Racoceanu, D. (2012). SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry. Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 1 : 70-75. ScholarBank@NUS Repository. https://doi.org/10.1109/ICMLA.2012.21 9780769549132 http://scholarbank.nus.edu.sg/handle/10635/41705 000427260500012 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	breast cancer grading computer vision digital histopathology marked point process object detection and extraction support vector machine
spellingShingle	breast cancer grading computer vision digital histopathology marked point process object detection and extraction support vector machine Veillard, A. Bressan, S. Racoceanu, D. SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry
description	10.1109/ICMLA.2012.21
author2	COMPUTER SCIENCE
author_facet	COMPUTER SCIENCE Veillard, A. Bressan, S. Racoceanu, D.
format	Conference or Workshop Item
author	Veillard, A. Bressan, S. Racoceanu, D.
author_sort	Veillard, A.
title	SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry
title_short	SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry
title_full	SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry
title_fullStr	SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry
title_full_unstemmed	SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry
title_sort	svm-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry
publishDate	2013
url	http://scholarbank.nus.edu.sg/handle/10635/41705
_version_	1781411125682765824

SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry

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