Best Presenter Award@VMV

The presentation of the paper by Sylvia Glaßer et al.,“A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data” was selected as best presentation (among 38) at the VMV-conference. It is joint work with the Department of Radiology (Prof. Ricke, U. Preim), the image analysis group of our computer science (Prof. Toennies, S. Schäfer). The paper addresses breast cancer diagnosis with dynamic MRI data and attempts to better discriminate malignant and benign tumors.

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