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The contribution of image cytometry and artificial intelligence-related methods of numerical data analysis for adipose tumor histopathologic classification.

par Goldschmidt, Denis ;Decaestecker, Christine ;Berthe, Jean-Valéry ;Gordower, Laurence ;Remmelink, Myriam ;Danguy, André ;Pasteels, Jean Lambert ;Salmon, Isabelle ;Kiss, Robert
Référence Laboratory investigation, 75, 3, page (295-306)
Publication Publié, 1996-09

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Titre:	The contribution of image cytometry and artificial intelligence-related methods of numerical data analysis for adipose tumor histopathologic classification.
Auteur:	Goldschmidt, Denis; Decaestecker, Christine; Berthe, Jean-Valéry; Gordower, Laurence; Remmelink, Myriam; Danguy, André; Pasteels, Jean Lambert; Salmon, Isabelle; Kiss, Robert
Informations sur la publication:	Laboratory investigation, 75, 3, page (295-306)
Statut de publication:	Publié, 1996-09
Sujet CREF:	Sciences bio-médicales et agricoles
	Intelligence artificielle
	Sciences de l'ingénieur
MeSH keywords:	Algorithms
	Artificial Intelligence
	DNA, Neoplasm -- genetics
	Decision Trees
	Histocytochemistry
	Humans
	Image Cytometry
	Immunohistochemistry
	Lipoma -- pathology
	Liposarcoma -- pathology
	Neoplasms, Adipose Tissue -- genetics
	Neoplasms, Adipose Tissue -- metabolism
	Neoplasms, Adipose Tissue -- pathology
	Ploidies
Note générale:	Journal Article
	Research Support, Non-U.S. Gov't
	Review
Langue:	Anglais
Identificateurs:	urn:issn:0023-6837
	info:scp/0029789299
	info:pmid/8804353
	VX-006432