Ontology-driven Image Analysis for Histopathological Images

Abstract : Ontology-based software and image processing engine must cooperate in new fields of computer vision like microscopy acquisition wherein the amount of data, concepts and processing to be handled must be properly controlled. Within our own platform, we need to extract biological objects of interest in huge size and high-content microscopy images. In addition to specific low-level image analysis procedures, we used knowledge formalization tools and high-level reasoning ability of ontology-based software. This methodology made it possible to improve the expressiveness of the clinical models, the usability of the platform for the pathologist and the sensitivity or sensibility of the low-level image analysis algorithms.
Type de document :
Communication dans un congrès
ISVC 2010 : 6th International Symposium on Visual Computing, Nov 2010, Las Vegas, United States. 2010
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00646394
Contributeur : Alice Ahlem Othmani <>
Soumis le : jeudi 16 janvier 2014 - 16:51:10
Dernière modification le : mardi 11 octobre 2016 - 13:29:28
Document(s) archivé(s) le : jeudi 17 avril 2014 - 09:49:52

Fichier

OTHMANI_ISVC_2010.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : hal-00646394, version 2

Collections

Citation

Ahlem Othmani, Carole Meziat, Nicolas Loménie. Ontology-driven Image Analysis for Histopathological Images. ISVC 2010 : 6th International Symposium on Visual Computing, Nov 2010, Las Vegas, United States. 2010. <hal-00646394v2>

Partager

Métriques

Consultations de
la notice

148

Téléchargements du document

165