A multimodal deep learning radiomics model for predicting degenerative meniscus tear after arthroscopy
Saved in:
| Main Authors: | Yao He, Jiaying Wei, Yinsong Sun, Wei Bao, Denghua Huang, Yuanjun Fan, Wei Huang, Tingting Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12349716/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Changes in the position of the medial meniscus owing to degenerative meniscus tears
by: Tomoyuki Kanayama, et al.
Published: (2025-04-01) -
McMurray’s test is influenced by perimeniscal synovitis in degenerative meniscus tears
by: Yong Jun Jin, et al.
Published: (2025-02-01) -
Evaluation of radiographic knee OA progression after arthroscopic meniscectomy compared with IACI for degenerative meniscus tear
by: Hairui Zhang, et al.
Published: (2025-04-01) -
Effect of Airflow Exposure on the Tear Meniscus
by: Shizuka Koh, et al.
Published: (2012-01-01) -
Impact of temporal tear meniscus height on the tear osmolarity measurements
by: Jaekyoung Lee, et al.
Published: (2025-07-01)