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Artificial Intelligence in Health Efficient knowledge distillation for breast US

Writing – original draft: Bahareh Behboodi 10. Zieleskiewicz L, Muller L, Lakhal K, et al. Point-of-care
Writing – review & editing: All authors ultrasound in intensive care units: Assessment of 1073
procedures in a multicentric, prospective, observational
Ethics approval and consent to participate study. Intensive Care Med. 2015;41:1638-1647.

Not applicable. doi: 10.1007/s00134-015-3952-5
11. Fujioka T, Kubota K, Hsu JF, et al. Examining the effectiveness
Consent for publication of a deep learning-based computer-aided breast cancer
Not applicable. detection system for breast ultrasound. J Med Ultrasonics.
2023;50:511-520.
Availability of data doi: 10.1007/s10396-023-01332-9

The dataset A used in this study can be found in Yap et al. 12. Ding W, Zhang H, Zhuang S, Zhuang Z, Gao Z. Multi-view
27
Data are available from the corresponding author upon stereoscopic attention network for 3D tumor classification
reasonable request. in automated breast ultrasound. Expert Syst Appl.
2023;234:120969.
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