ACL-DUNet: A tumor segmentation method based on multiple attention and densely connected breast ultrasound images

• Hao Zhang,

  Roles Formal analysis, Methodology, Writing – review & editing

  Affiliation School of Computer Science and Technology, Xinjiang University, Urumqi, Xinjiang, China

  https://orcid.org/0009-0001-8603-2526

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• He Liang,

  Roles Funding acquisition

  Affiliation Department of Electronic Engineering, and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

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• Guo Wenjia,

  Roles Funding acquisition, Writing – review & editing

  Affiliation Cancer Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China

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• Ma Jing,

  Roles Funding acquisition, Writing – review & editing

  Affiliation School of Computer Science and Technology, Xinjiang University, Urumqi, Xinjiang, China

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• Sun Gang,

  Roles Funding acquisition, Writing – review & editing

  Affiliations Department of Breast and Thyroid Surgery, The Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, Xinjiang, P.R. China, Xinjiang Cancer Center/Key Laboratory of Oncology of Xinjiang Uyghur Autonomous Region, Urumqi, Xinjiang, P.R. China

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• Ma Hongbing

  Roles Funding acquisition, Writing – review & editing

  * E-mail: hbma@tsinghua.edu.cn

  Affiliation Department of Electronic Engineering, and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

  https://orcid.org/0000-0002-1785-4024

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