Automated detection and classification of shoulder arthroplasty models using deep learning

ConclusionDCNNs can accurately identify the presence of and distinguish between TSA& RTSA, and classify five specific TSA models with high accuracy. The proof of concept of these DCNNs may set the foundation for an automated arthroplasty atlas for rapid and comprehensive model identification.

http://link.springer.com/10.1007/s00256-020-03463-3

Source: Skeletal Radiology - August 22, 2020 Category: Radiology Source Type: research