Table 6 Mean absolute error of tissue proportions obtained by the pipeline in the test set. The models compared are the DeepLabV3-R50 tissue segmentation models, pre-trained for open wound segmentation on the AZH FU and/or Wounds datasets.

From: Enhancing chronic wound assessment through agreement analysis and tissue segmentation

 

MAE (%)

Pre-trained on

Granulation

Slough

Eschar

Wounds dataset

14.33 ± 16.05

14.31 ± 15.28

8.84 ± 5.29

AZH FU + Wounds

17.75 ± 19.05

16.29 ± 15.25

12.45 ± 8.06

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