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Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study.
Ye, Qiang; Yang, Hening; Lin, Bomiao; Wang, Menghong; Song, Liwen; Xie, Zhuoyao; Lu, Zixiao; Feng, Qianjin; Zhao, Yinghua.
Afiliación
  • Ye Q; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China.
  • Yang H; School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Lin B; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China.
  • Wang M; Department of Radiology, ZhuJiang Hospital of Southern Medical University, Guangzhou, China.
  • Song L; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China.
  • Xie Z; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China.
  • Lu Z; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China.
  • Feng Q; Department of Radiology, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics, Guangdong Province), Guangzhou, Guangdong, China. luzixiao9206@163.com.
  • Zhao Y; School of Biomedical Engineering, Southern Medical University, Guangzhou, China. fengqj99@smu.edu.cn.
Eur Radiol ; 34(7): 4287-4299, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38127073

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Óseas / Aprendizaje Profundo Límite: Adolescent / Adult / Aged / Child / Female / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Óseas / Aprendizaje Profundo Límite: Adolescent / Adult / Aged / Child / Female / Humans / Male / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: China
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