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A fully automatic artificial intelligence-based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis.
Yan, Chenggong; Wang, Lingfeng; Lin, Jie; Xu, Jun; Zhang, Tianjing; Qi, Jin; Li, Xiangying; Ni, Wei; Wu, Guangyao; Huang, Jianbin; Xu, Yikai; Woodruff, Henry C; Lambin, Philippe.
Afiliação
  • Yan C; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China.
  • Wang L; The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University, 6229ER, Maastricht, The Netherlands.
  • Lin J; School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China.
  • Xu J; Clinical and Technical Solution, Philips Healthcare, Guangzhou, 510055, China.
  • Zhang T; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, No. 1838 Guangzhou Avenue North, Guangzhou, 510515, Guangdong, China.
  • Qi J; Department of Radiology, Nanfang Yanling Hospital, Guangzhou, 510507, China.
  • Li X; Department of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
  • Ni W; Clinical and Technical Solution, Philips Healthcare, Guangzhou, 510055, China.
  • Wu G; School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China.
  • Huang J; Department of Radiology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, 570208, China.
  • Xu Y; Philips China Innovation Hub, Shanghai, 200072, China.
  • Woodruff HC; The D-Lab, Department of Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University, 6229ER, Maastricht, The Netherlands.
  • Lambin P; Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Eur Radiol ; 32(4): 2188-2199, 2022 Apr.
Article em En | MEDLINE | ID: mdl-34842959
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 3_ND Base de dados: MEDLINE Assunto principal: Tuberculose Pulmonar / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Eur Radiol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 3_ND Base de dados: MEDLINE Assunto principal: Tuberculose Pulmonar / Inteligência Artificial Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Eur Radiol Ano de publicação: 2022 Tipo de documento: Article