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Représentation et raisonnement formels pour le pronostic basé sur l'imagerie médicale microscropique. Application à la graduation du cancer du sein.

Abstract : This thesis addresses ontology-driven prognosis assistance using knowledge representation and reasoning for very large microscopi medical images. One particular medical application in which prognosis assistance is needed is the breast cancer grading. Although this is considered the key assessment tool in prognosis of modern pathology practice, the main problems of the manual procedure are : time constraints, the need of knowledge and attention. Moreover the lack of formal standardized semantic representation for the indexing and classification of the terminology and the lack of an inference mechanism to assist the grading are key issues of the domain. To this end, we propose a qualitative formal ontological representation of breast cancer grading, an application ontology entitled Breast Cancer Grading Ontology based on OWL-DL and SWRL formalisms. Using this approach, this thesis also tackles the semantic gap between the high-level semantic concepts and the low-level image features. Additionally, we propose a spatial theory support for the representation of the spatial relations between the spatial concepts of the breast cancer grading. This ontology is integrated into a cognitive microscope framework MICO, guiding the image exploration, semantic indexing and retrieval of the microscopy images.
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https://tel.archives-ouvertes.fr/tel-00560215
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Submitted on : Thursday, January 27, 2011 - 4:12:08 PM
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  • HAL Id : tel-00560215, version 1

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Adina Tutac Épouse Branici. Représentation et raisonnement formels pour le pronostic basé sur l'imagerie médicale microscropique. Application à la graduation du cancer du sein.. Automatique / Robotique. Université de Franche-Comté, 2010. Français. ⟨tel-00560215⟩

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