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Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN.
Guan, Qiu; Chen, Yizhou; Wei, Zihan; Heidari, Ali Asghar; Hu, Haigen; Yang, Xu-Hua; Zheng, Jianwei; Zhou, Qianwei; Chen, Huiling; Chen, Feng.
Affiliation
  • Guan Q; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: gq@zjut.edu.cn.
  • Chen Y; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: yizhou@zjut.edu.cn.
  • Wei Z; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: 2112012201@zjut.edu.cn.
  • Heidari AA; School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran. Electronic address: as_heidari@ut.ac.ir.
  • Hu H; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: hghu@zjut.edu.cn.
  • Yang XH; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: xhyang@zjut.edu.cn.
  • Zheng J; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: zjw@zjut.edu.cn.
  • Zhou Q; College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China. Electronic address: zqw@zjut.edu.cn.
  • Chen H; College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, Zhejiang, 325035, China. Electronic address: chenhuiling.jlu@gmail.com.
  • Chen F; The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: chenfenghz@zju.edu.cn.
Comput Biol Med ; 145: 105444, 2022 06.
Article de En | MEDLINE | ID: mdl-35421795

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Traitement d'image par ordinateur Type d'étude: Diagnostic_studies Langue: En Journal: Comput Biol Med Année: 2022 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Traitement d'image par ordinateur Type d'étude: Diagnostic_studies Langue: En Journal: Comput Biol Med Année: 2022 Type de document: Article