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Fig. 3 | Radiation Oncology

Fig. 3

From: Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data

Fig. 3

a: Bland-Altmann plot visualizing agreement between manually delineated ground truth and automatic segmentation by DCNN per patient. The middle horizontal line is drawn at the mean difference (0.15 ml) between both measurements and the lines below and above at the limits of agreement (95% CI). b: Volume predicted by DCNN plotted against manual segmentation. The concordance correlation coefficient (CCC) measuring deviation from the diagonal line depicting perfect agreement between both volumes was 0.87

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