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Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology.
Lin, Elisa; Fuda, Franklin; Luu, Hung S; Cox, Andrew M; Fang, Fengqi; Feng, Junlin; Chen, Mingyi.
Afiliación
  • Lin E; Department of Pathology and Laboratory Medicine, University of Texas, Southwestern Medical Center, Dallas, Texas, United States of America.
  • Fuda F; Department of Pathology and Laboratory Medicine, University of Texas, Southwestern Medical Center, Dallas, Texas, United States of America.
  • Luu HS; Department of Pathology and Laboratory Medicine, University of Texas, Southwestern Medical Center, Dallas, Texas, United States of America.
  • Cox AM; Cell & Molecular Biology | Luda Hill Department of Bioinformatics, University of Texas, Southwestern Medical Center, Dallas, Texas, United States of America.
  • Fang F; Department of Oncology, The First Hospital of Dalian Medical University, Dalian, China.
  • Feng J; Division of Medical Technology Development, Hangzhou Zhiwei Information & Technology Ltd., Hangzhou, China.
  • Chen M; Department of Pathology and Laboratory Medicine, University of Texas, Southwestern Medical Center, Dallas, Texas, United States of America. Electronic address: mingyi.chen@utsouthwestern.edu.
Semin Diagn Pathol ; 40(2): 88-94, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36801182

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Algoritmos / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Semin Diagn Pathol Asunto de la revista: PATOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Algoritmos / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Semin Diagn Pathol Asunto de la revista: PATOLOGIA Año: 2023 Tipo del documento: Article