A Deep Learning Automated Segmentation Algorithm Accurately Detects Differences in Longitudinal Cartilage Thickness Loss - Data from the FNIH Biomarkers Study of the Osteoarthritis Initiative.

Felix EcksteinAkshay S ChaudhariDavid FuerstMartin GaisbergerJana KemnitzChristian F BaumgartnerEnder KonukogluDavid John Hunter Wolfgang Wirth

Published in: Arthritis care & research (2020)

A fully automated deep learning segmentation approach not only displayed similar sensitivity to change of longitudinal cartilage thickness loss in knee OA as manual expert segmentation, but also effectively differentiates longitudinal rates of cartilage thickness loss between cohorts with different progression profiles.

Keyphrases

deep learning
convolutional neural network
optical coherence tomography
artificial intelligence
machine learning
knee osteoarthritis
extracellular matrix
cross sectional
total knee arthroplasty
rheumatoid arthritis
electronic health record
clinical practice
single cell
data analysis