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The computer-assisted microscope analysis of Feulgen-stained nuclei linked to a supervised learning algorithm as an aid to prognosis assessment in invasive transitional bladder cell carcinomas.

par Decaestecker, Christine ;Petein, Michel ;Van Velthoven, Roland ;Janssen, Thierry ;Raviv, Gil;Pasteels, Jean Lambert ;Schulman, Claude ;Van Ham, Philippe ;Kiss, Robert
Référence Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology, 10, 3, page (263-280)
Publication Publié, 1996-05

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Titre:	The computer-assisted microscope analysis of Feulgen-stained nuclei linked to a supervised learning algorithm as an aid to prognosis assessment in invasive transitional bladder cell carcinomas.
Auteur:	Decaestecker, Christine; Petein, Michel; Van Velthoven, Roland; Janssen, Thierry; Raviv, Gil; Pasteels, Jean Lambert; Schulman, Claude; Van Ham, Philippe; Kiss, Robert
Informations sur la publication:	Analytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology, 10, 3, page (263-280)
Statut de publication:	Publié, 1996-05
Sujet CREF:	Sciences bio-médicales et agricoles
	Intelligence artificielle
	Sciences de l'ingénieur
MeSH keywords:	Adult
	Aged
	Aged, 80 and over
	Algorithms
	Carcinoma, Transitional Cell -- pathology
	Coloring Agents
	Decision Trees
	Female
	Humans
	Image Processing, Computer-Assisted
	Male
	Middle Aged
	Neoplasm Invasiveness
	Prognosis
	Rosaniline Dyes
	Urinary Bladder Neoplasms -- pathology
Note générale:	Journal Article
Langue:	Anglais
Identificateurs:	urn:issn:0921-8912
	info:pmid/8798287
	VX-006196