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A novel U-Net approach to segment the cardiac chamber in magnetic resonance images with ghost artifacts

Ming Zhao, Wei Yang, Yu Lu, Kelvin K. L. Wong

2020Computer Methods and Programs in Biomedicine68 citationsDOI

Topics & Concepts

ContouringSegmentationJaccard indexHausdorff distanceConvolutional neural networkArtificial intelligenceMagnetic resonance imagingComputer scienceSteady-state free precession imagingOcclusionSørensen–Dice coefficientMedicineSimilarity (geometry)Computer visionPattern recognition (psychology)Image segmentationCardiologyRadiologyImage (mathematics)Computer graphics (images)Atrial Fibrillation Management and OutcomesCoronary Interventions and DiagnosticsCardiovascular and Diving-Related Complications
A novel U-Net approach to segment the cardiac chamber in magnetic resonance images with ghost artifacts | Litcius