20 May 2015 Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation
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Non-mass enhancing lesions represent a challenge for the radiological reading. They are not well-defined in both morphology (geometric shape) and kinetics (temporal enhancement) and pose a problem to lesion detection and classification. To enhance the discriminative properties of an automated radiological workflow, the correct preprocessing steps need to be taken. In an usual computer-aided diagnosis (CAD) system, motion compensation plays an important role. To this end, we employ a new high accuracy optical flow based motion compensation algorithm with robustification variants. An automated computer-aided diagnosis system evaluates the atypical behavior of these lesions, and additionally considers the impact of non-rigid motion compensation on a correct diagnosis.
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Anke Meyer-Baese, Anke Meyer-Baese, Adrian Barbu, Adrian Barbu, Marc Lobbes, Marc Lobbes, Sebastian Hoffmann, Sebastian Hoffmann, Bernhard Burgeth, Bernhard Burgeth, Andreas Kleefeld, Andreas Kleefeld, Uwe Meyer-Bäse, Uwe Meyer-Bäse, } "Computer-aided diagnosis of breast MRI with high accuracy optical flow estimation", Proc. SPIE 9496, Independent Component Analyses, Compressive Sampling, Large Data Analyses (LDA), Neural Networks, Biosystems, and Nanoengineering XIII, 949605 (20 May 2015); doi: 10.1117/12.2181815; https://doi.org/10.1117/12.2181815

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