Compare three deep learning-based artificial intelligence models for classification of calcified lumbar disc herniation: a multicenter diagnostic study
In this study, we established a deep learning model with excellent performance in identifying calcified intervertebral discs, thereby offering a valuable and efficient diagnostic tool for clinical surgeons.
Authors
- Xuexiao Ma (ORCID: https://orcid.org/0009-0008-1246-5581)
- Yihao Sun (ORCID: https://orcid.org/0000-0002-4401-9024)
- Hao Zhang (ORCID: https://orcid.org/0000-0002-2482-7833)
- Zhiming Liu (ORCID: https://orcid.org/0000-0002-8836-8031)
- Min Zhang (ORCID: https://orcid.org/0000-0002-8681-5889)
- Lei Li (ORCID: https://orcid.org/0000-0002-1500-7446)
- Changpeng Qu (ORCID: https://orcid.org/0009-0009-4686-721X)
Institutions
- Qingdao University (CN)
- Wenzhou Medical University (CN)
- Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- Frontiers in Surgery
- Published
- 2024-11-06
- DOI
- https://doi.org/10.3389/fsurg.2024.1458569
- Citations
- 3
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.55