Towards a computer aided diagnosis system dedicated to virtual microscopy based on stereology sampling and diffusion maps

<p<Abstract</p< <p<An original strategy is presented, combining stereological sampling methods based on test grids and data reduction methods based on diffusion maps, in order to build a knowledge image database with no bias introduced by a subjective choice of exploration areas. T...
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Gespeichert in:

Autor*in:	Plancoulaine Benoit [verfasserIn] Michels Jean-Jaques [verfasserIn] Oger Myriam [verfasserIn] Belhomme Philippe [verfasserIn] Herlin Paulette [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Übergeordnetes Werk:	In: Diagnostic Pathology - BMC, 2005, 6(2011), Suppl 1, p S3
Übergeordnetes Werk:	volume:6 ; year:2011 ; number:Suppl 1, p S3

Links:	Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/1746-1596-6-S1-S3

Katalog-ID:	DOAJ057725357

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language	English
source	In Diagnostic Pathology 6(2011), Suppl 1, p S3 volume:6 year:2011 number:Suppl 1, p S3
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topic_title	RB1-214 Towards a computer aided diagnosis system dedicated to virtual microscopy based on stereology sampling and diffusion maps
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title	Towards a computer aided diagnosis system dedicated to virtual microscopy based on stereology sampling and diffusion maps
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title_auth	Towards a computer aided diagnosis system dedicated to virtual microscopy based on stereology sampling and diffusion maps
abstract	<p<Abstract</p< <p<An original strategy is presented, combining stereological sampling methods based on test grids and data reduction methods based on diffusion maps, in order to build a knowledge image database with no bias introduced by a subjective choice of exploration areas. The practical application of the exposed methodology concerns virtual slides of breast tumors.</p<
abstractGer	<p<Abstract</p< <p<An original strategy is presented, combining stereological sampling methods based on test grids and data reduction methods based on diffusion maps, in order to build a knowledge image database with no bias introduced by a subjective choice of exploration areas. The practical application of the exposed methodology concerns virtual slides of breast tumors.</p<
abstract_unstemmed	<p<Abstract</p< <p<An original strategy is presented, combining stereological sampling methods based on test grids and data reduction methods based on diffusion maps, in order to build a knowledge image database with no bias introduced by a subjective choice of exploration areas. The practical application of the exposed methodology concerns virtual slides of breast tumors.</p<
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