Artificial intelligence and cardiac image segmentation

Research Works

The team is implementing deep learning methods applied to image segmentation with quality control in order to detect erroneous segmentations. These methods are more particularly applied to the segmentation of cardiac MRI and epicardial fat. One of the strengths is the ability to predict quality at the slice level, which is not possible with known methods.

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