Development of a deep learning-based fully automated segmentation of rotator cuff muscles from clinical MR scans.
Sae Hoon KimHye Jin YooSoon Ho YoonYong Tae KimSang Joon ParkJee Won ChaiJiseon OhHee Dong ChaePublished in: Acta radiologica (Stockholm, Sweden : 1987) (2024)
We developed a fully automated deep neural network for RC muscle and bone segmentation with excellent performance from clinical MRI scans.
Keyphrases
- deep learning
- convolutional neural network
- contrast enhanced
- neural network
- artificial intelligence
- machine learning
- rotator cuff
- computed tomography
- magnetic resonance imaging
- skeletal muscle
- magnetic resonance
- bone mineral density
- diffusion weighted imaging
- postmenopausal women
- body composition
- single cell
- bone loss