Automatic wound detection and size estimation using deep learning algorithms
Fig 12
Automatic measurements of wound periphery using post-processing technique 4 for C1 (left-plot) and C2 (right-plot) mice when 75% (baseline), 60%, and 50% of the images have splints.
The blue line shows the average wound closure percentages based on the automatic estimation using the developed pipeline for dataset having 75% (baseline) of the splints, the orange shows the same results but for having 60% of the splints, and finally green shows the same results but for 50% missing splints.