Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study.
Journal:
JMIR mHealth and uHealth
Published Date:
Apr 22, 2022
Abstract
BACKGROUND: Composition of tissue types within a wound is a useful indicator of its healing progression. Tissue composition is clinically used in wound healing tools (eg, Bates-Jensen Wound Assessment Tool) to assess risk and recommend treatment. However, wound tissue identification and the estimation of their relative composition is highly subjective. Consequently, incorrect assessments could be reported, leading to downstream impacts including inappropriate dressing selection, failure to identify wounds at risk of not healing, or failure to make appropriate referrals to specialists.