Figure 2.

Close agreement between deep learning and manual chamber segmentation and function assessment. (A) Dice coefficient for two chambers of interest, the left ventricle and left atrial was high. (B) Dice coefficient for three computed tomography scanners. (C) Dice coefficient for three types of clinical indications. (D) Hausdorff distance for left ventricle and left atrial. (E) Correlation of left ventricular ejection fraction derived using manual and deep-learning segmentation was close to identity (dashed) line with a fit (solid) of left ventricle EF_DL = 0.92EF_m + 6.64 and Pearson correlation r = 0.95 with P < 0.001. (F) Left atrial ejection fraction correlation was close to identity (dashed) line with fit (solid) of left atrial EF_DL = 1.09EF_m + 0.96, and Pearson correlation r = 0.92 with P < 0.001.