Automated 3-dimensional MRI segmentation for the posterosuperior rotator cuff tear lesion using deep learning algorithm.
Su Hyun LeeJiHwan LeeKyung-Soo OhJong Pil YoonAnna SeoYoungJin JeongSeok Won ChungPublished in: PloS one (2023)
The proposed model for 3D segmentation of RCT lesions using MRI data showed overall high accuracy and successful 3D visualization. Further studies are necessary to determine the feasibility of its clinical application and whether its use could improve care and outcomes.
Keyphrases
- deep learning
- rotator cuff
- convolutional neural network
- contrast enhanced
- artificial intelligence
- magnetic resonance imaging
- machine learning
- healthcare
- diffusion weighted imaging
- palliative care
- big data
- electronic health record
- quality improvement
- magnetic resonance
- affordable care act
- insulin resistance
- glycemic control