$ν$-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters

no code implementations • 14 Jun 2017 • Hinrich B Winther, Christian Hundt, Bertil Schmidt, Christoph Czerner, Johann Bauersachs, Frank Wacker, Jens Vogel-Claussen

Conclusions: Biventricular mass and function parameters can be determined reliably in high quality by applying a deep neural network for cardiac MRI segmentation, especially in the anatomically complex right ventricle.

Anatomy Image Segmentation +3