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Improving breast tumor segmentation via shape-wise prior-guided information on cone-beam breast CT images.
Lin, Tongxu; Lin, Junyu; Huang, Guoheng; Yuan, Xiaochen; Zhong, Guo; Xie, Fenfang; Li, Jiao.
Affiliation
  • Lin T; School of Automation, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
  • Lin J; School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
  • Huang G; School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
  • Yuan X; Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, People's Republic of China.
  • Zhong G; School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou 510006, People's Republic of China.
  • Xie F; School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou 510006, People's Republic of China.
  • Li J; Department of Medical Imaging, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, Guangdong Province, People's Republ
Phys Med Biol ; 68(14)2023 07 12.
Article in En | MEDLINE | ID: mdl-37364585
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Cone-Beam Computed Tomography Limits: Female / Humans Language: En Journal: Phys Med Biol Year: 2023 Document type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Cone-Beam Computed Tomography Limits: Female / Humans Language: En Journal: Phys Med Biol Year: 2023 Document type: Article