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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 Allport
Published 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.
Keyphrases
  • deep learning
  • palliative care
  • convolutional neural network
  • artificial intelligence
  • surgical site infection
  • wound healing
  • healthcare
  • high throughput
  • quality improvement