International Application of Artificial Intelligence for Lesion Detection on Digital Breast Tomosynthesis: Comparing Western and Eastern Databases
- DOI
- 10.1016/j.acra.2026.08.039
- Published
- 2026-08
- Container
- Academic Radiology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.acra.2026.08.039,
title = {International Application of Artificial Intelligence for Lesion Detection on Digital Breast Tomosynthesis: Comparing Western and Eastern Databases},
author = {Yun-Xuan Tang and Bing-Fong Lin and Yi-Hsien Lin and Fan-Yun Kung and Pei Li Yang and Yuan-Chen Chen and Chia-Feng Lu},
year = {2026},
journal = {Academic Radiology},
doi = {10.1016/j.acra.2026.08.039},
url = {https://doi.org/10.1016/j.acra.2026.08.039}
}RIS
TY - JOUR TI - International Application of Artificial Intelligence for Lesion Detection on Digital Breast Tomosynthesis: Comparing Western and Eastern Databases AU - Yun-Xuan Tang AU - Bing-Fong Lin AU - Yi-Hsien Lin AU - Fan-Yun Kung AU - Pei Li Yang AU - Yuan-Chen Chen AU - Chia-Feng Lu PY - 2026 JO - Academic Radiology DO - 10.1016/j.acra.2026.08.039 UR - https://doi.org/10.1016/j.acra.2026.08.039 ER -
APA
Tang, Y., Lin, B., Lin, Y., Kung, F., Yang, P. L., Chen, Y., & Lu, C. (2026). International Application of Artificial Intelligence for Lesion Detection on Digital Breast Tomosynthesis: Comparing Western and Eastern Databases. Academic Radiology. https://doi.org/10.1016/j.acra.2026.08.039
Source records
- crossref · retrieved 2026-09-25T20:01:56.804Z