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Liver tumor segmentation and classification using FLAS-UNet++ and an improved DenseNet.
Peng, Quchen; Yan, Yunqi; Qian, Lijun; Suo, Shiteng; Guo, Yi; Xu, Jianrong; Wang, Yuanyuan.
Afiliação
  • Peng Q; Department of Electronic Engineering, Fudan University, Shanghai, China.
  • Yan Y; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China.
  • Qian L; Department of Radiology, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Suo S; Department of Radiology, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Guo Y; Department of Radiology, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xu J; Department of Electronic Engineering, Fudan University, Shanghai, China.
  • Wang Y; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China.
Technol Health Care ; 30(6): 1475-1487, 2022.
Article em En | MEDLINE | ID: mdl-35661035
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias Hepáticas Limite: Humans Idioma: En Revista: Technol Health Care Assunto da revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias Hepáticas Limite: Humans Idioma: En Revista: Technol Health Care Assunto da revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China