An artificial intelligence ultrasound system's ability to distinguish benign from malignant follicular-patterned lesions.

Xu D, Wang Y, Wu H, Lu W, Chang W, Yao J, Yan M, Peng C, Yang C, Wang L, Xu L

DOI: 10.3389/fendo.2022.981403
Published: 2022
Container: Frontiers in endocrinology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fendo.2022.981403,
  title = {An artificial intelligence ultrasound system's ability to distinguish benign from malignant follicular-patterned lesions.},
  author = {Xu D and Wang Y and Wu H and Lu W and Chang W and Yao J and Yan M and Peng C and Yang C and Wang L and Xu L},
  year = {2022},
  journal = {Frontiers in endocrinology},
  doi = {10.3389/fendo.2022.981403},
  url = {https://doi.org/10.3389/fendo.2022.981403}
}

RIS

TY  - JOUR
TI  - An artificial intelligence ultrasound system's ability to distinguish benign from malignant follicular-patterned lesions.
AU  - Xu D
AU  - Wang Y
AU  - Wu H
AU  - Lu W
AU  - Chang W
AU  - Yao J
AU  - Yan M
AU  - Peng C
AU  - Yang C
AU  - Wang L
AU  - Xu L
PY  - 2022
JO  - Frontiers in endocrinology
DO  - 10.3389/fendo.2022.981403
UR  - https://doi.org/10.3389/fendo.2022.981403
ER  -

APA

D, X., Y, W., H, W., W, L., W, C., J, Y., M, Y., C, P., C, Y., L, W., & L, X. (2022). An artificial intelligence ultrasound system's ability to distinguish benign from malignant follicular-patterned lesions.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2022.981403

Source records

pubmed · retrieved 2026-09-25T13:44:56.724Z