Fig. 2: Correlation heat map depicting the associations between PCs from image features and radiographic scores. | npj Digital Medicine

Fig. 2: Correlation heat map depicting the associations between PCs from image features and radiographic scores.

From: Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs

Fig. 2

Features analyzed by computer vision are consistent with manually labeled radiographic abnormalities. The shaded bar on the right represents the Spearman correlation coefficients from +1.0 to −1.0. The shade and size of each circle in the grid indicate the extent to which each PC correlated with each radiographic abnormality. (PC principal component, *p < 0.05, **p < 0.01, ***p < 0.001).

Back to article page