Your browser doesn't support javascript.
loading
High-resolution CT image analysis based on 3D convolutional neural network can enhance the classification performance of radiologists in classifying pulmonary non-solid nodules.
Zhang, Teng; Wang, Yida; Sun, Yingli; Yuan, Mei; Zhong, Yan; Li, Hai; Yu, Tongfu; Wang, Jie.
Afiliación
  • Zhang T; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. Electronic address: shenhua1004@163.com.
  • Wang Y; Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China. Electronic address: ydwang@phy.ecnu.edu.cn.
  • Sun Y; Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, 200040, China. Electronic address: yinglisun0103@163.com.
  • Yuan M; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. Electronic address: 547816604@qq.com.
  • Zhong Y; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. Electronic address: 1181449872@qq.com.
  • Li H; Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. Electronic address: 2414133362@qq.com.
  • Yu T; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. Electronic address: njmu_yutf@163.com.
  • Wang J; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. Electronic address: njmu_wangjie@126.com.
Eur J Radiol ; 141: 109810, 2021 Aug.
Article en En | MEDLINE | ID: mdl-34102564
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Pulmonares Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Pulmonares Tipo de estudio: Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Radiol Año: 2021 Tipo del documento: Article