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DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images.
Cheng, Zhanyi; Li, Yanfeng; Chen, Houjin; Zhang, Zilu; Pan, Pan; Cheng, Lin.
Affiliation
  • Cheng Z; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
  • Li Y; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China. Electronic address: yf.li@bjtu.edu.cn.
  • Chen H; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
  • Zhang Z; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
  • Pan P; School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
  • Cheng L; Center for Breast, People's Hospital of Peking University, Beijing, China.
Comput Methods Programs Biomed ; 221: 106891, 2022 Jun.
Article in En | MEDLINE | ID: mdl-35623209
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Ultrasonography, Mammary Type of study: Diagnostic_studies Limits: Female / Humans Language: En Journal: Comput Methods Programs Biomed Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Ultrasonography, Mammary Type of study: Diagnostic_studies Limits: Female / Humans Language: En Journal: Comput Methods Programs Biomed Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: China