Fig 4 - Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation

By pairing images of burns to precise measurements of the percentage of body area affected, an algorithm could be trained to use images to rapidly and accurately predict the percentage of burned tissue and automate part of assessment of burn patients.

Go to figure page

Reference

Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/By-pairing-images-of-burns-to-precise-measurements-of-the-percentage-of-body-area_fig3_301688300 [accessed 19 Apr 2025]

Caption

Fig. 4. By pairing images of burns to precise measurements of the percentage of body area affected, an algorithm could be trained to use images to rapidly and accurately predict the percentage of burned tissue and automate part of assessment of burn patients.

Embed code

<a href="https://www.researchgate.net/figure/By-pairing-images-of-burns-to-precise-measurements-of-the-percentage-of-body-area_fig3_301688300"><img src="https://www.researchgate.net/profile/Jonathan-Kanevsky/publication/301688300/figure/fig3/AS:677399805046784@1538516107539/By-pairing-images-of-burns-to-precise-measurements-of-the-percentage-of-body-area.ppm" alt="By pairing images of burns to precise measurements of the percentage of body area affected, an algorithm could be trained to use images to rapidly and accurately predict the percentage of burned tissue and automate part of assessment of burn patients."/></a>