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Optimized approach to decision fusion of heterogeneous data for breast cancer diagnosis
2006
Medical Physics (Lancaster)
As more diagnostic testing options become available to physicians, it becomes more difficult to combine various types of medical information together in order to optimize the overall diagnosis. To improve diagnostic performance, here we introduce an approach to optimize a decision-fusion technique to combine heterogeneous information, such as from different modalities, feature categories, or institutions. This dissertation presents a computer aid known as optimized decision fusion, and explores
doi:10.1118/1.2208934
pmid:16964873
pmcid:PMC2569003
fatcat:av3yxepgordtjhdwn42ssv2ti4