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MDU-Net: A Convolutional Network for Clavicle and Rib Segmentation from a Chest Radiograph.
Wang, Wenjing; Feng, Hongwei; Bu, Qirong; Cui, Lei; Xie, Yilin; Zhang, Aoqi; Feng, Jun; Zhu, Zhaohui; Chen, Zhongyuanlong.
Afiliación
  • Wang W; Department of Information Science and Technology, Northwest University, Xi'an 710127, China.
  • Feng H; Department of Information Science and Technology, Northwest University, Xi'an 710127, China.
  • Bu Q; Department of Information Science and Technology, Northwest University, Xi'an 710127, China.
  • Cui L; Department of Information Science and Technology, Northwest University, Xi'an 710127, China.
  • Xie Y; Department of Information Science and Technology, Northwest University, Xi'an 710127, China.
  • Zhang A; Department of Information Science and Technology, Northwest University, Xi'an 710127, China.
  • Feng J; Department of Information Science and Technology, Northwest University, Xi'an 710127, China.
  • Zhu Z; State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services, School of Information Science and Technology, Northwest University, Xi'an 710127, Shaanxi, China.
  • Chen Z; Chest Hospital of Xinjiang Uyghur Autonomous Region of the PRC, Xinjiang Uygur Autonomous Region, Urumqi 830049, China.
J Healthc Eng ; 2020: 2785464, 2020.
Article en En | MEDLINE | ID: mdl-32724504

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Costillas / Huesos / Procesamiento de Imagen Asistido por Computador / Reconocimiento de Normas Patrones Automatizadas / Radiografía Torácica / Clavícula Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Healthc Eng Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Costillas / Huesos / Procesamiento de Imagen Asistido por Computador / Reconocimiento de Normas Patrones Automatizadas / Radiografía Torácica / Clavícula Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Healthc Eng Año: 2020 Tipo del documento: Article País de afiliación: China
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