Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study

The WAUVE based on non-standardized ultrasound scanning demonstrated excellent performance in breast cancer assessment which yielded outcomes similar to those of experienced radiologists, indicating the clinical application of the WAUVE model promising.

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Publication Details

Journal
Cancer Imaging
Published
2025-06-16
DOI
https://doi.org/10.1186/s40644-025-00892-y
Citations
3
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
7.44

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article

Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study

Liwei Wang, Yuanjing Gao, Qi-rong Zhu, Meng Lei et al.
3 citations
Cancer Imaging
AI in cancer detection
7.44
article

Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study

Liwei Wang, Yuanjing Gao, Qi-rong Zhu, Meng Lei, Ling Huo, Lei Liu, Xinyi Wang, Dong Wang, Rui Zhang, Yong Wang, Lu Ma, Mengsu Xiao, Quanlin Wu, Binghui Tang, Chao Sun, Shuzhen Cheng, Nan Zhang, Xiaozheng Xie, Jie Han
article en
3 citations

Abstract

The WAUVE based on non-standardized ultrasound scanning demonstrated excellent performance in breast cancer assessment which yielded outcomes similar to those of experienced radiologists, indicating the clinical application of the WAUVE model promising.

Cancer ImagingVol. 25(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Peking Union Medical College Hospital (CN), National Cancer Center (US), Beijing Academy of Artificial Intelligence (CN), Third Hospital of Nanchang (CN), Second Hospital of Nanchang (CN), China National Chemical Engineering (China) (CN), Ministry of Education (ET), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Cancer Foundation of China
Openalex Percentile: Top 3%
AI in cancer detection
7.44
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