Abstract #2179

Quality prediction score: predicting the CNN-based segmentation performance for cine cardiac MR images

Ping-Chen Wu¹, Zheng-Shen Lin¹, and Teng-Yi Huang¹

¹Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

In this study, we evaluated the open-source toolbox for heart segmentation by using cross-institutional datasets. Furthermore, we proposed to use a quality prediction socre to provide the estimation of the qualitfy of the cardiac segmentation. The QPS values were highly correlated to the Dice coefficients of the test datasets.

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