Segmentation and quantitative analysis of optical coherence tomography (OCT) images of laser burned skin based on deep learning
Jingyuan Wu,
Qiong Ma,
Xun Zhou
et al.
Abstract:Evaluation of skin recovery is an important step in the treatment of burns. However, conventional methods only observe the surface of the skin and cannot quantify the injury volume. Optical coherence tomography (OCT) is a non-invasive, non-contact, real-time technique. Swept-frequency OCT uses near infrared light and analyzes the intensity of light echo at different depths to generate images from optical interference signals. To quantify the dynamic recovery of skin burns over time, laser induced skin burns in… Show more
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