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Weakly supervised semantic segmentation of histological tissue via attention accumulation and pixel-level contrast learning.
Han, Yongqi; Cheng, Lianglun; Huang, Guoheng; Zhong, Guo; Li, Jiahua; Yuan, Xiaochen; Liu, Hongrui; Li, Jiao; Zhou, Jian; Cai, Muyan.
Affiliation
  • Han Y; School of Computer Science and Technology, Guangdong University of Technology, Guangzhou 510006, People's Republic of China.
  • Cheng L; 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.
  • Zhong G; School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou 510420, People's Republic of China.
  • Li J; 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.
  • Liu H; Department of Industrial and Systems Engineering, San Jose State University, CA 95192, United States of America.
  • Li J; Department of Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
  • Zhou J; Department of Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
  • Cai M; Department of Pathology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, People's Republic of China.
Phys Med Biol ; 68(4)2023 02 07.
Article in En | MEDLINE | ID: mdl-36577142
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenocarcinoma of Lung / Lung Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2023 Document type: Article Country of publication: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenocarcinoma of Lung / Lung Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Phys Med Biol Year: 2023 Document type: Article Country of publication: United kingdom