Simultaneous Segmentation and Classification of Pressure Injury Image Data Using Mask-R-CNN.

Mark A SwerdlowOzgur GulerRaphael YaakovDavid G Armstrong

Published in: Computational and mathematical methods in medicine (2023)

Our Mask-R-CNN model provides levels of accuracy considerably greater than the average healthcare professional who works with pressure injury patients. This tool can be easily incorporated into the clinician's workflow to aid in the hospital setting.

Keyphrases

deep learning
healthcare
convolutional neural network
end stage renal disease
ejection fraction
electronic health record
chronic kidney disease
machine learning
peritoneal dialysis
prognostic factors
emergency department
health information