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Gaussian mixture models for semantic ranking in domain specific databases with application in radiology
2011
Open Computer Science
AbstractWith recent advances in imaging techniques, huge quantities of domain-specific images, such as medical or geospatial images, are produced and stored daily in computer-based image repositories. Size of databases and limited time at hand makes manual evaluation and annotation by domain experts difficult. In such cases computer based methods can be used to enrich the process of decision making while eliciting previously unknown information. For example, in the medical domain, query by
doi:10.2478/s13537-011-0022-0
fatcat:pgkxujx5gvcpjfz6cvfk7rc54u