Automatic classification of cellular elements of solid tumors: application to DNA quantitation

Eric Masson; Paulette Herlin; Isabelle Galle; Françoise Duigou; Philippe Belhomme; Daniel Bloyet; Anne-Marie Mandard

Acta Stereologica

0351-580X

Plus de Statistiques

depuis le 05 décembre 2013 :
Visualisation(s): 249 (3 ULiège)
Téléchargement(s): 51 (1 ULiège)

Eric Masson, Paulette Herlin, Isabelle Galle, Françoise Duigou, Philippe Belhomme, Daniel Bloyet & Anne-Marie Mandard

Automatic classification of cellular elements of solid tumors: application to DNA quantitation

(Volume 13 (1994) — Number 1 - Proceedings of the sixth European congress for stereology - Part two - May 1994)

Article

Document(s) associé(s)

Annexes

AS_13_n1_75_MAS.pdf (2,2M)

Abstract

Image Cytometry (ICM) leads often to more reliable DNA measurement of archival solid tumors than Flow Cytometry (FCM) due to sorting of unwanted nuclear elements (inflammatory and stromal cell nuclei, nuclear debris). Nevertheless, interactive sorting is time consuming and unable to give statistically valuable results in an acceptable delay for clinical oncology. The strategy, first results and output of an automatic cell classifier developed within the framework of the optimization of a DNA analyzer are here presented.

Keywords : automatic cell classifier, DNA cytometry, image analyzer, solid tumors

Pour citer cet article

Eric Masson, Paulette Herlin, Isabelle Galle, Françoise Duigou, Philippe Belhomme, Daniel Bloyet & Anne-Marie Mandard, «Automatic classification of cellular elements of solid tumors: application to DNA quantitation», Acta Stereologica [En ligne], Volume 13 (1994), Number 1 - Proceedings of the sixth European congress for stereology - Part two - May 1994, 75-81 URL : https://popups.uliege.be/0351-580x/index.php?id=1021.