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Convolutional bi-directional learning and spatial enhanced attentions for lung tumor segmentation.
Xuan, Ping; Jiang, Bin; Cui, Hui; Jin, Qiangguo; Cheng, Peng; Nakaguchi, Toshiya; Zhang, Tiangang; Li, Changyang; Ning, Zhiyu; Guo, Menghan; Wang, Linlin.
Afiliación
  • Xuan P; School of Computer Science and Technology, Heilongjiang University, Harbin, China; Department of Computer Science, School of Engineering, Shantou University, Shantou, China.
  • Jiang B; School of Computer Science and Technology, Heilongjiang University, Harbin, China.
  • Cui H; Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia.
  • Jin Q; School of Software, Northwestern Polytechnical University, Xi' an, China.
  • Cheng P; Department of Computer Science and Information Technology, La Trobe University, Melbourne, Australia.
  • Nakaguchi T; Center for Frontier Medical Engineering, Chiba University, Chiba, Japan.
  • Zhang T; School of Mathematical Science, Heilongjiang University, Harbin, China. Electronic address: zhang@hlju.edu.cn.
  • Li C; Rudder Technology Pty Ltd, Sydney, Australia.
  • Ning Z; Sydney Polytechnic Institute, Sydney, Australia.
  • Guo M; GMH Technology Pty Ltd, Sydney, Australia.
  • Wang L; Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Comput Methods Programs Biomed ; 226: 107147, 2022 Nov.
Article en En | MEDLINE | ID: mdl-36206688
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Pulmonares Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Irlanda
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Pulmonares Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Irlanda