Peer-reviewedCC BYDiagnostics (Basel, Switzerland)
Quantitative Glandular Tissue Component Assessment on Breast Ultrasound Using an Anatomically Constrained Deep Learning Framework
- 1Department of Ultrasound, Xinhua Hospital Affiliated to School of Medicine, 1665 Kongjiang Road, Shanghai 200092, China
- 2Shanghai Yishu Huazhang Data Technology Co., Ltd., Shanghai 200092, China
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BibTeX
@article{jiang2026quantitative,
title = {{Quantitative Glandular Tissue Component Assessment on Breast Ultrasound Using an Anatomically Constrained Deep Learning Framework}},
author = {Jun Jiang and Xin Zhou and Yi-Fan Wu and Xin-Liang Xu and Wen-Ying Li and Yue-Yang Guan and Yu Wang and Yi Dong},
journal = {Diagnostics (Basel, Switzerland)},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13702955},
note = {CC BY},
}
RIS
TY - JOUR
TI - Quantitative Glandular Tissue Component Assessment on Breast Ultrasound Using an Anatomically Constrained Deep Learning Framework
AU - Jun Jiang
AU - Xin Zhou
AU - Yi-Fan Wu
AU - Xin-Liang Xu
AU - Wen-Ying Li
AU - Yue-Yang Guan
AU - Yu Wang
AU - Yi Dong
PY - 2026
DA - 2026/10/01
JO - Diagnostics (Basel, Switzerland)
UR - https://europepmc.org/article/PMC/PMC13702955
SN - 2075-4418
ER -