Marknadens största urval
Snabb leverans

Machine Learning in MRI

- From Methods to Clinical Translation Volume Tbd

Om Machine Learning in MRI

Machine Learning in MRI: From Methods to Clinical Translation presents state-of-the-art machine learning methods in magnetic resonance imaging that can shape and impact the future of patient treatment and planning. Common methods and strategies along the processing chain of data acquisition, image reconstruction, image post-processing and image analysis of these imaging modalities are presented and illustrated. The book focuses on applications and anatomies for which machine learning methods can bring, or have already brought, important contributions. Ideas and concepts of how processing could be harmonized and used to provide deployable frameworks that integrate into the clinical workflows are considered. Pitfalls and current limitations are discussed in the context of how they could be overcome to cater for clinical needs. Machine Learning in MRI: From Methods to Clinical Translation is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. By giving an interdisciplinary presentation and discussion on the obstacles and possible solutions for the clinical translation of machine learning methods, this book enables the evolution of machine learning in medical imaging for the next decade.

Visa mer
  • Språk:
  • Engelska
  • ISBN:
  • 9780443141096
  • Format:
  • Häftad
  • Utgiven:
  • 1. november 2024
  Fri leverans
Leveranstid: Kan förbeställas

Beskrivning av Machine Learning in MRI

Machine Learning in MRI: From Methods to Clinical Translation presents state-of-the-art machine learning methods in magnetic resonance imaging that can shape and impact the future of patient treatment and planning. Common methods and strategies along the processing chain of data acquisition, image reconstruction, image post-processing and image analysis of these imaging modalities are presented and illustrated. The book focuses on applications and anatomies for which machine learning methods can bring, or have already brought, important contributions. Ideas and concepts of how processing could be harmonized and used to provide deployable frameworks that integrate into the clinical workflows are considered. Pitfalls and current limitations are discussed in the context of how they could be overcome to cater for clinical needs. Machine Learning in MRI: From Methods to Clinical Translation is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. By giving an interdisciplinary presentation and discussion on the obstacles and possible solutions for the clinical translation of machine learning methods, this book enables the evolution of machine learning in medical imaging for the next decade.

Användarnas betyg av Machine Learning in MRI



Hitta liknande böcker
Boken Machine Learning in MRI finns i följande kategorier:

Gör som tusentals andra bokälskare

Prenumerera på vårt nyhetsbrev för att få fantastiska erbjudanden och inspiration för din nästa läsning.