Figure 5.

Results of the Voting Ensemble DL algorithm demonstrating the segmentation of nonhealing burn (ie, deep partial-thickness and full-thickness burn) within the image. (a) Color image of a heterogeneous burn on the back of a study subject. (b) Probability “heat map” of the Voting Ensemble DL algorithm. (c) Predicted area of nonhealing burn after threshold has been applied to the probability heat map in image “b”. (d) Ground truth location of nonhealing burn in the image. (e) Comparison of the ground truth to the DL algorithm indicating the four outcome types for every pixel in the image. DL, deep learning.