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Artificial Intelligence in Pathology: A Simple and Practical Guide.
Yao, Keluo; Singh, Amol; Sridhar, Kaushik; Blau, John L; Ohgami, Robert S.
Afiliación
  • Yao K; Department of Pathology, University of California, San Francisco, San Francisco.
  • Singh A; Department of Computer Science, Stanford University, Stanford, CA.
  • Sridhar K; Department of Pathology, University of California, San Francisco, San Francisco.
  • Blau JL; Department of Pathology, University of Iowa, Iowa City, IA.
  • Ohgami RS; Department of Pathology, University of California, San Francisco, San Francisco.
Adv Anat Pathol ; 27(6): 385-393, 2020 Nov.
Article en En | MEDLINE | ID: mdl-32773432
ABSTRACT
Artificial intelligence (AI) is having an increasing impact on the field of pathology, as computation techniques allow computers to perform tasks previously performed by people. Here, we offer a simple and practical guide to AI methods used in pathology, such as digital image analysis, next-generation sequencing, and natural language processing. We not only provide a comprehensive review, but also discuss relevant history and future directions of AI in pathology. We additionally provide a short tabular dictionary of AI terminology which will help practicing pathologists and researchers to understand this field.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Patología / Inteligencia Artificial Límite: Humans Idioma: En Revista: Adv Anat Pathol Asunto de la revista: ANATOMIA / PATOLOGIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Patología / Inteligencia Artificial Límite: Humans Idioma: En Revista: Adv Anat Pathol Asunto de la revista: ANATOMIA / PATOLOGIA Año: 2020 Tipo del documento: Article