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The objective was to develop a novel and automated comprehensive framework for the non‐invasive identification and classification of kidney non‐rejection and acute rejection transplants using 2D dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI).
The proposed approach consists of four steps. First, kidney objects are segmented from the surrounding structures with a geometric deformable...
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