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AEAU-Net: an unsupervised end-to-end registration network by combining affine transformation and deformable medical image registration.
Qiu, Wei; Xiong, Lianjin; Li, Ning; Luo, Zhangrong; Wang, Yaobin; Zhang, Yangsong.
Afiliación
  • Qiu W; School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Xiong L; School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Li N; School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Luo Z; School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Wang Y; School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, Mianyang, 621010, China.
  • Zhang Y; School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, Mianyang, 621010, China. zhangysacademy@gmail.com.
Med Biol Eng Comput ; 61(11): 2859-2873, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37498511
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Redes Neurales de la Computación Idioma: En Revista: Med Biol Eng Comput Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Redes Neurales de la Computación Idioma: En Revista: Med Biol Eng Comput Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos