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Open Access

Peer-reviewed

Research Article

Segmentation and recognition of breast ultrasound images based on an expanded U-Net

Yanjun Guo ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft

* E-mail: gmy63000@126.com

Affiliation School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China

https://orcid.org/0000-0002-5541-8290

⨯
Xingguang Duan,

Roles Funding acquisition, Supervision

Affiliation School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
⨯
Chengyi Wang,

Roles Writing – review & editing

Affiliation Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
⨯
Huiqin Guo

Roles Data curation, Resources

Affiliation UItrasonic Diagnosis Department, Chengcheng County Hospital, Weinan, Shanxi province, China
⨯

Segmentation and recognition of breast ultrasound images based on an expanded U-Net

Yanjun Guo,
Xingguang Duan,
Chengyi Wang,
Huiqin Guo

x

Published: June 15, 2021
https://doi.org/10.1371/journal.pone.0253202

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Ultrasound imaging
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Malignant tumors
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Benign tumors
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Breast tumors
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Imaging techniques
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