Automated segmentation and classification of supraspinatus fatty infiltration in shoulder magnetic resonance image using a convolutional neural network
The two-step training method proposed using a deep learning model demonstrated strong performance in segmentation and classification tasks.
Authors
- Guillermo Droppelmann (ORCID: https://orcid.org/0000-0001-9164-1150)
- Juan Pablo Herrera Saavedra (ORCID: https://orcid.org/0000-0002-4416-4563)
- Felipe Feijoo (ORCID: https://orcid.org/0000-0003-3129-9597)
- Carlos Jorquera
Institutions
- Universidad Mayor (CL)
- Pontificia Universidad Católica de Valparaíso (CL)
- Harvard University (US)
- Clínica MEDS (Chile) (CL)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-09-03
- DOI
- https://doi.org/10.3389/fmed.2024.1416169
- Citations
- 2
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.15
Funders
- Pontificia Universidad Católica de Valparaíso