Automatic knee cartilage and bone segmentation using multi-stage convolutional neural networks: data from the osteoarthritis initiative.
Anthony A GattiMonica R MalyPublished in: Magma (New York, N.Y.) (2021)
The framework learns to automatically segment knee cartilage tissues and bones from MR images acquired with two sequences, producing efficient, accurate quantifications at varying disease severities.
Keyphrases
- convolutional neural network
- deep learning
- knee osteoarthritis
- total knee arthroplasty
- extracellular matrix
- anterior cruciate ligament
- anterior cruciate ligament reconstruction
- artificial intelligence
- gene expression
- electronic health record
- machine learning
- quality improvement
- rheumatoid arthritis
- bone mineral density
- magnetic resonance
- high resolution
- contrast enhanced
- magnetic resonance imaging
- body composition
- data analysis
- genetic diversity
- bone loss