Segmentation-guided peritumoral radiomics and machine learning for ultrasound-based classification of salivary gland tumors
- DOI
- 10.1080/00016489.2026.2722468
- Published
- 2026-09-07
- Container
- Acta Oto-Laryngologica
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/00016489.2026.2722468,
title = {Segmentation-guided peritumoral radiomics and machine learning for ultrasound-based classification of salivary gland tumors},
author = {Hung-Wei Chen and Chin-Huan Chang and Wei-Chen Hung and Chih-Ming Chang and Po-Wen Cheng and Wu-Chia Lo and Li-Jen Liao and Ping-Chia Cheng},
year = {2026},
journal = {Acta Oto-Laryngologica},
doi = {10.1080/00016489.2026.2722468},
url = {https://doi.org/10.1080/00016489.2026.2722468}
}RIS
TY - JOUR TI - Segmentation-guided peritumoral radiomics and machine learning for ultrasound-based classification of salivary gland tumors AU - Hung-Wei Chen AU - Chin-Huan Chang AU - Wei-Chen Hung AU - Chih-Ming Chang AU - Po-Wen Cheng AU - Wu-Chia Lo AU - Li-Jen Liao AU - Ping-Chia Cheng PY - 2026 JO - Acta Oto-Laryngologica DO - 10.1080/00016489.2026.2722468 UR - https://doi.org/10.1080/00016489.2026.2722468 ER -
APA
Chen, H., Chang, C., Hung, W., Chang, C., Cheng, P., Lo, W., Liao, L., & Cheng, P. (2026). Segmentation-guided peritumoral radiomics and machine learning for ultrasound-based classification of salivary gland tumors. Acta Oto-Laryngologica. https://doi.org/10.1080/00016489.2026.2722468
Source records
- crossref · retrieved 2026-09-26T07:58:52.179Z