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Self-co-attention neural network for anatomy segmentation in whole breast ultrasound.
Lei, Baiying; Huang, Shan; Li, Hang; Li, Ran; Bian, Cheng; Chou, Yi-Hong; Qin, Jing; Zhou, Peng; Gong, Xuehao; Cheng, Jie-Zhi.
Affiliation
  • Lei B; the National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China. Electronic address: leiby@szu.edu.cn
  • Huang S; the National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
  • Li H; the National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
  • Li R; the National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
  • Bian C; the National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
  • Chou YH; Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, Hsinchu, Taiwan; Department of Radiology, Taipei Veterans General Hospital and School of Medicine, National Yang Ming University, Taipei, Taiwan; Department of Radiology, Yee Zen General Hospital, Ta
  • Qin J; Center for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong.
  • Zhou P; Department of Ultrasound, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, 518035, China.
  • Gong X; Department of Ultrasound, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, 518035, China. Electronic address: fox_gxh@sina.com.
  • Cheng JZ; Shanghai United Imaging Intelligence Co., Ltd. (UII), Shanghai, China. Electronic address: jzcheng@ntu.edu.tw.
Med Image Anal ; 64: 101753, 2020 08.
Article in En | MEDLINE | ID: mdl-32574986
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ultrasonography, Mammary / Neural Networks, Computer Type of study: Diagnostic_studies Limits: Female / Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Country of publication: Netherlands
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ultrasonography, Mammary / Neural Networks, Computer Type of study: Diagnostic_studies Limits: Female / Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Country of publication: Netherlands