Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative.
- DOI
- 10.1016/j.cmpb.2023.107807
- Published
- 2023 Dec
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2023.107807,
title = {Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative.},
author = {Teoh YX and Othmani A and Lai KW and Goh SL and Usman J},
year = {2023},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2023.107807},
url = {https://doi.org/10.1016/j.cmpb.2023.107807}
}RIS
TY - JOUR TI - Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative. AU - Teoh YX AU - Othmani A AU - Lai KW AU - Goh SL AU - Usman J PY - 2023 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2023.107807 UR - https://doi.org/10.1016/j.cmpb.2023.107807 ER -
APA
YX, T., A, O., KW, L., SL, G., & J, U. (2023). Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2023.107807
Source records
- pubmed · retrieved 2026-09-26T14:47:19.125Z