Automatic Deep Learning-assisted Detection and Grading of Abnormalities in Knee MRI Studies.
Bruno AstutoIo FlamentNikan K NamiriRutwik ShahUpasana BharadwajThomas M LinkMatthew D BucknorValentina PedoiaSharmila MajumdarPublished in: Radiology. Artificial intelligence (2021)
The three-dimensional convolutional neural network had high sensitivity, specificity, and accuracy for knee-lesion-severity scoring and also increased intergrader agreement when used on an external dataset.Supplemental material is available for this article. Keywords: Bone Marrow, Cartilage, Computer Aided Diagnosis (CAD), Computer Applications-3D, Computer Applications-Detection/Diagnosis, Knee, Ligaments, MR-Imaging, Neural Networks, Observer Performance, Segmentation, Statistics © RSNA, 2021See also the commentary by Li and Chang in this issue.: An earlier incorrect version of this article appeared online. This article was corrected on April 16, 2021.
Keyphrases
- deep learning
- convolutional neural network
- total knee arthroplasty
- neural network
- bone marrow
- artificial intelligence
- knee osteoarthritis
- anterior cruciate ligament
- contrast enhanced
- anterior cruciate ligament reconstruction
- machine learning
- loop mediated isothermal amplification
- real time pcr
- label free
- magnetic resonance imaging
- mesenchymal stem cells
- coronary artery disease
- social media
- magnetic resonance
- health information
- healthcare
- psychometric properties
- extracellular matrix
- quantum dots