Comprehensive Assessment of Fine-Grained Wound Images Using a Patch-Based CNN With Context-Preserving Attention.

Ziyang Liu Emmanuel O Agu Peder PedersenClifford LindsayBengisu Tulu Diane Strong

Published in: IEEE open journal of engineering in medicine and biology (2021)

Our work is the first intelligent system that autonomously grades wounds comprehensively based on criteria in the PWAT rubric, alleviating the significant burden that manual wound grading imposes on wound care nurses.

Keyphrases

healthcare
wound healing
surgical site infection
convolutional neural network
palliative care
deep learning
working memory
mental health
molecular dynamics
quality improvement
risk factors
optical coherence tomography
pain management
chronic pain
clinical evaluation