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Deep learning-assisted detection and segmentation of intracranial hemorrhage in noncontrast computed tomography scans of acute stroke patients: a systematic review and meta-analysis.
Hu, Ping; Yan, Tengfeng; Xiao, Bing; Shu, Hongxin; Sheng, Yilei; Wu, Yanze; Shu, Lei; Lv, Shigang; Ye, Minhua; Gong, Yanyan; Wu, Miaojing; Zhu, Xingen.
Afiliación
  • Hu P; Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University.
  • Yan T; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases.
  • Xiao B; Jiangxi Health Commission Key Laboratory of Neurological Medicine.
  • Shu H; Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
  • Sheng Y; Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University.
  • Wu Y; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases.
  • Shu L; Jiangxi Health Commission Key Laboratory of Neurological Medicine.
  • Lv S; Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
  • Ye M; Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University.
  • Gong Y; Department of Neurosurgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University.
  • Wu M; Jiangxi Key Laboratory of Neurological Tumors and Cerebrovascular Diseases.
  • Zhu X; Jiangxi Health Commission Key Laboratory of Neurological Medicine.
Int J Surg ; 110(6): 3839-3847, 2024 Jun 01.
Article en En | MEDLINE | ID: mdl-38489547
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Accidente Cerebrovascular / Hemorragias Intracraneales / Aprendizaje Profundo Idioma: En Revista: Int J Surg Año: 2024 Tipo del documento: Article
Texto completo
Imprimir
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Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tomografía Computarizada por Rayos X / Accidente Cerebrovascular / Hemorragias Intracraneales / Aprendizaje Profundo Idioma: En Revista: Int J Surg Año: 2024 Tipo del documento: Article