Quantitative assessment for characterization of breast lesion tissues using adaptively decomposed ultrasound RF images

Author:

Yao Ruihan,Zhang Yufeng,Wu Keyan,Li Zhiyao,He Meng,Fengyue Baoping

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference41 articles.

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2. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012;Ferlay;Int. J. Cancer,2015

3. International Agency for Research on Cancer. Latest global cancer data: Cancer burden rises to 19.3 million new cases and 10.0 million cancer deaths in 2020. Press release, 292 (2020.12.15), https://www.iarc.who.int/wp-content/uploads/2020/12/pr292_E.pdf.

4. Z. Klimonda, K. Dobruch-Sobczak, H. Piotrzkowska-Wróblewska et al., Quantitative ultrasound of tumor surrounding tissue for enhancement of breast cancer diagnosis, International Conference on Bioinformatics and Biomedical Engineering, Springer, Cham, (2018) 186-197, https://doi.org/10.1007/978-3-319-78759-6_18.

5. Ultrasound imaging technologies for breast cancer detection and management: a review;Guo;Ultrasound Med. Biol.,2018

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