Initial Exploitation of the SONNET Derived Taxonomy of Mammographic Parenchymal Patterns

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2007 Frontiers in the Convergence of Bioscience and Information Technologies

Jeju Island, Korea

October 11-October 13

ISBN: 978-0-7695-2999-8

	ASCII Text	x
	Daniel Howard, Simon C. Roberts, Adrian Brezulianu, Conor Ryan, "Initial Exploitation of the SONNET Derived Taxonomy of Mammographic Parenchymal Patterns," Frontiers in the Convergence of Bioscience and Information Technologies, pp. 390-395, 2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007.

	BibTex	x
	@article{ 10.1109/FBIT.2007.156, author = {Daniel Howard and Simon C. Roberts and Adrian Brezulianu and Conor Ryan}, title = {Initial Exploitation of the SONNET Derived Taxonomy of Mammographic Parenchymal Patterns}, journal ={Frontiers in the Convergence of Bioscience and Information Technologies}, volume = {0}, year = {2007}, isbn = {978-0-7695-2999-8}, pages = {390-395}, doi = {http://doi.ieeecomputersociety.org/10.1109/FBIT.2007.156}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Frontiers in the Convergence of Bioscience and Information Technologies TI - Initial Exploitation of the SONNET Derived Taxonomy of Mammographic Parenchymal Patterns SN - 978-0-7695-2999-8 SP390 EP395 A1 - Daniel Howard, A1 - Simon C. Roberts, A1 - Adrian Brezulianu, A1 - Conor Ryan, PY - 2007 VL - 0 JA - Frontiers in the Convergence of Bioscience and Information Technologies ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FBIT.2007.156

A taxonomy of mammography patterns has a number of potential uses which are discussed in this paper. The paper also presents further details about an organization of the mammography archive that was achieved by means of the SONNET self-organizing neural network. Preliminary results on the possible use of the mammography taxonomy to detect cancerous lesions via asymmetry identification are presented. A SONNET hierarchy capable of classifying parenchyma sub-types which combines with evolutionary computation is proposed which may overcome the challenging problem of the search for multiscale features over a diverse set of mammograms.

Citation:

Daniel Howard, Simon C. Roberts, Adrian Brezulianu, Conor Ryan, "Initial Exploitation of the SONNET Derived Taxonomy of Mammographic Parenchymal Patterns," fbit, pp.390-395, 2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007

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