Machine learning: from radiomics to discovery and routine

Machine learning is rapidly gaining importance in radiology. It allows for the exploitation of patterns in imaging data and in patient records for a more accurate and precise quantification, diagnosis, and prognosis. Here, we outline the basics of machine learning relevant for radiology, and review...

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Detalles Bibliográficos
Autores principales: Langs, G., Röhrich, S., Hofmanninger, J., Prayer, F., Pan, J., Herold, C., Prosch, H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Medizin 2018
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244522/
https://www.ncbi.nlm.nih.gov/pubmed/29922965
http://dx.doi.org/10.1007/s00117-018-0407-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244522/
https://www.ncbi.nlm.nih.gov/pubmed/29922965
http://dx.doi.org/10.1007/s00117-018-0407-3

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