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Communication Dans Un Congrès Année : 2010

Ontology-driven Image Analysis for Histopathological Images

Résumé

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.
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Dates et versions

hal-00646394 , version 1 (02-12-2011)
hal-00646394 , version 2 (16-01-2014)

Identifiants

  • HAL Id : hal-00646394 , version 2

Citer

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. ⟨hal-00646394v2⟩
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