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Conference Papers Year : 2012

Mathematical Analysis and Computational Integration of Massive Heterogeneous Data from the Human Retina

Arash Sangari
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Adel Ardalan
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Hamid Eghbalnia
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  • PersonId : 988905
Amir H. Assadi
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  • PersonId : 988837

Abstract

Modern epidemiology integrates knowledge from heterogeneous collections of data consisting of numerical, descriptive and imaging. Large-scale epidemiological studies use sophisticated statistical analysis, mathematical models using differential equations and versatile analytic tools that handle numerical data. In contrast, knowledge extraction from images and descriptive information in the form of text and diagrams remain a challenge for most fields, in particular, for diseases of the eye. In this article we provide a roadmap towards extraction of knowledge from text and images with focus on forthcoming applications to epidemiological investigation of retinal diseases, especially from existing massive heterogeneous collections of data distributed around the globe.
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hal-01365778 , version 1 (13-09-2016)

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Arash Sangari, Adel Ardalan, Larry Lambe, Hamid Eghbalnia, Amir H. Assadi. Mathematical Analysis and Computational Integration of Massive Heterogeneous Data from the Human Retina. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. pp.571-578, ⟨10.1007/978-3-642-28255-3_63⟩. ⟨hal-01365778⟩
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