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Ultrasonography Search
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Original Articles
Direct deep learning analysis of three-dimensional
automated breast ultrasound
videos with reading mode optimization for breast cancer diagnosis
Yuqing Guo, Changyan Wang, Yingchun Liu, Yun Pang, Rui Ge, Weiping Li, Lizhuang Liu, Qi Zhang, Lin Chen
Ultrasonography.
2026;45(1):80-91. Published online November 10, 2025
DOI:
https://doi.org/10.14366/usg.25096
Crossref 1
Supplemental
automated breast ultrasound
in negative screening mammography: early-stage cancer detection in dense breasts with limited yield in non-dense breasts
Soo-Yeon Kim, Sung Eun Song, Min Sun Bae, Kyu Ran Cho, Bo Kyoung Seo, Ok Hee Woo
Ultrasonography.
2026;45(1):18-29. Published online October 17, 2025
DOI:
https://doi.org/10.14366/usg.25134
Crossref 1
False-negative results on computer-aided detection software in preoperative automated breast ultrasonography of breast cancer patients
Youngjune Kim, Jiwon Rim, Sun Mi Kim, Bo La Yun, So Yeon Park, Hye Shin Ahn, Bohyoung Kim, Mijung Jang
Ultrasonography.
2021;40(1):83-92. Published online March 24, 2020
DOI:
https://doi.org/10.14366/usg.19076
Web of Science 7
Crossref 8
Reliability of automated versus handheld breast ultrasound examinations of suspicious breast masses
Gabin Yun, Sun Mi Kim, Bo La Yun, Hye Shin Ahn, Mijung Jang
Ultrasonography.
2019;38(3):264-271. Published online December 23, 2018
DOI:
https://doi.org/10.14366/usg.18055
Web of Science 15
Crossref 14
Automated Breast Ultrasound
.
Hee Jung Shin, Hak Hee Kim, Joo Hee Cha
J Korean Soc Ultrasound Med.
2011;30(3):157-162. Published online September 1, 2011
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Pelvic pain of venous origin: diagnostic insights from transvaginal ultrasonography. Ultrasonography. 2026;45:325-341
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