Multimodal Ultrasound-Based Decision Support for Bethesda IV Thyroid Nodules: Integration of Clinical, Radiomics, Deep Learning, and Topological Features.
- DOI
- 10.1007/s10278-026-02208-3
- Published
- 2026 Aug 25
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-02208-3,
title = {Multimodal Ultrasound-Based Decision Support for Bethesda IV Thyroid Nodules: Integration of Clinical, Radiomics, Deep Learning, and Topological Features.},
author = {Ding H and Zhao S and Chen Y and Zhang X and Zhang Z and Yang J and Ren Q and Chen B},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02208-3},
url = {https://doi.org/10.1007/s10278-026-02208-3}
}RIS
TY - JOUR TI - Multimodal Ultrasound-Based Decision Support for Bethesda IV Thyroid Nodules: Integration of Clinical, Radiomics, Deep Learning, and Topological Features. AU - Ding H AU - Zhao S AU - Chen Y AU - Zhang X AU - Zhang Z AU - Yang J AU - Ren Q AU - Chen B PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02208-3 UR - https://doi.org/10.1007/s10278-026-02208-3 ER -
APA
H, D., S, Z., Y, C., X, Z., Z, Z., J, Y., Q, R., & B, C. (2026). Multimodal Ultrasound-Based Decision Support for Bethesda IV Thyroid Nodules: Integration of Clinical, Radiomics, Deep Learning, and Topological Features.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02208-3
Source records
- pubmed · retrieved 2026-09-26T14:55:33.106Z