A Deep Learning Image-to-Image Translation Approach for a More Accessible Estimator of the Healing Time of Burns.

Journal: IEEE transactions on bio-medical engineering
Published Date:

Abstract

OBJECTIVE: An accurate and timely diagnosis of burn severity is critical to ensure a positive outcome. Laser Doppler imaging (LDI) has become a very useful tool for this task. It measures the perfusion of the burn and estimates its potential healing time. LDIs generate a 6-color palette image, with each color representing a healing time. This technique has very high costs associated. In resource-limited areas, such as low- and middle-income countries or remote locations like space, where access to specialized burn care is inadequate, more affordable and portable tools are required. This study proposes a novel image-to-image translation approach to estimate burn healing times, using a digital image to approximate the LDI.

Authors

  • Andrea Rozo
  • Vanja Miskovic
    Electronic, Information e Bio-engeenering, Politecnico di Milano, Milan, Italy.
  • Thomas Rose
  • Elkana Keersebilck
  • Carlo Iorio
  • Carolina Varon
    Department of Electrical Engineering-ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics and iMinds Medical IT Department, KU Leuven, Leuven, Belgium.