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[The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography].
Qiu, S M; Zhang, H; Liu, Z X; Zhang, L; Meng, Y K; Sun, X N; Xie, L X; Zhang, Y C; Wang, H; Xu, K.
Afiliación
  • Qiu SM; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
  • Zhang H; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
  • Liu ZX; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
  • Zhang L; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
  • Meng YK; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
  • Sun XN; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
  • Xie LX; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
  • Zhang YC; Department of Radiology, Suining Hospital Affiliated of Xuzhou Medical University, Xuzhou 221200, China.
  • Wang H; Department of Radiology, Suining Hospital Affiliated of Xuzhou Medical University, Xuzhou 221200, China.
  • Xu K; Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China.
Zhonghua Yi Xue Za Zhi ; 103(19): 1477-1482, 2023 May 23.
Article en Zh | MEDLINE | ID: mdl-37198110

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Embolia Pulmonar / Aprendizaje Profundo Tipo de estudio: Observational_studies Límite: Female / Humans / Male Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Embolia Pulmonar / Aprendizaje Profundo Tipo de estudio: Observational_studies Límite: Female / Humans / Male Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Año: 2023 Tipo del documento: Article País de afiliación: China
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