Automatic wound detection and size estimation using deep learning algorithms
Fig 13
Automatic measurements of wound periphery using post-processing technique 4 for C1 (left-plot) and C2 (right-plot) mice dealing with a biased missing reference object.
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 those with all the splints removed for days 0 − 7, the green shows the same results but for those with all the splints removed for days 4 − 11, and finally red shows the same results but for those with all the splints removed for days 8 − 15.