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Deep Learning-Based Automatic Detection of ASPECTS in Acute Ischemic Stroke: Improving Stroke Assessment on CT Scans.
Chiang, Pi-Ling; Lin, Shih-Yen; Chen, Meng-Hsiang; Chen, Yueh-Sheng; Wang, Cheng-Kang; Wu, Min-Chen; Huang, Yii-Ting; Lee, Meng-Yang; Chen, Yong-Sheng; Lin, Wei-Che.
Afiliación
  • Chiang PL; Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.
  • Lin SY; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Chen MH; Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.
  • Chen YS; Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.
  • Wang CK; Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.
  • Wu MC; Neurology Department, Pingtung Christian Hospital, Pingtung 90053, Taiwan.
  • Huang YT; Department of Emergency Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.
  • Lee MY; Institute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Chen YS; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Lin WC; Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan.
J Clin Med ; 11(17)2022 Aug 31.
Article en En | MEDLINE | ID: mdl-36079086

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Clin Med Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: J Clin Med Año: 2022 Tipo del documento: Article