Towards optimal deep fusion of imaging and clinical data via a model‐based description of fusion quality
Medical Physics2022Vol. 50(6), pp. 3526–3537
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Yuqi Wang, Xiang Li, Meghana Konanur, Brandon Konkel, Elisabeth R. Seyferth, Nathan Brajer, Jian‐Guo Liu, Mustafa R. Bashir, Kyle J. Lafata
Abstract
We introduced the concept of data fusion quality for multi-source deep learning problems involving both imaging and clinical data. We provided a theoretical framework, numerical validation, and real-world application in abdominal radiology. Our data suggests that CT imaging and hepatic blood markers provide complementary diagnostic information when appropriately fused.
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