Fully Automated Wound Tissue Segmentation Using Deep Learning on Mobile Devices: Cohort Study.
Dhanesh RamachandramJosé Luis Ramírez García LunaRobert D J FraserMario Aurelio Martínez-JiménezJesus E Arriaga-CaballeroJustin AllportPublished in: JMIR mHealth and uHealth (2022)
The interrater agreement study validates that clinicians exhibit considerable variability when identifying and visually estimating wound tissue proportion. The proposed deep learning technique provides objective tissue identification and measurements to assist clinicians in documenting the wound more accurately and could have a significant impact on wound care when deployed at scale.