De Aller-Bedste Bøger - over 12 mio. danske og engelske bøger
Levering: 1 - 2 hverdage

Cardiovascular Disorder Severity Analysis in Magnetic Resonance Images

Bag om Cardiovascular Disorder Severity Analysis in Magnetic Resonance Images

Cardiovascular disorder severity analysis in magnetic resonance images (MRI) involves using machine learning techniques to analyze MRI images and assess the severity of cardiovascular disorders. This approach utilizes deep learning algorithms, such as convolutional neural networks (CNN), for image analysis, segmentation, and feature extraction. The severity analysis involves quantifying the extent and location of damaged tissues, narrowing of blood vessels, and other pathological changes related to cardiovascular disorders. This analysis can aid in the diagnosis, prognosis, and treatment planning of patients with cardiovascular disorders. This method has several advantages, including the ability to detect subtle changes in MRI images that may be missed by human observers, the potential to provide more accurate and objective measures of disease severity, and the ability to integrate data from electronic health records and other sources. Overall, this approach has the potential to improve medical decision-making and provide more personalized care for patients with cardiovascular disorders, thus helping to reduce the burden of these conditions on individuals and society.

Vis mere
  • Sprog:
  • Engelsk
  • ISBN:
  • 9787484585858
  • Indbinding:
  • Paperback
  • Sideantal:
  • 122
  • Udgivet:
  • 27. marts 2023
  • Størrelse:
  • 152x8x229 mm.
  • Vægt:
  • 189 g.
  • 2-3 uger.
  • 26. november 2024
På lager

Normalpris

Abonnementspris

- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

Beskrivelse af Cardiovascular Disorder Severity Analysis in Magnetic Resonance Images

Cardiovascular disorder severity analysis in magnetic resonance images (MRI) involves using machine learning techniques to analyze MRI images and assess the severity of cardiovascular disorders. This approach utilizes deep learning algorithms, such as convolutional neural networks (CNN), for image analysis, segmentation, and feature extraction.
The severity analysis involves quantifying the extent and location of damaged tissues, narrowing of blood vessels, and other pathological changes related to cardiovascular disorders. This analysis can aid in the diagnosis, prognosis, and treatment planning of patients with cardiovascular disorders.
This method has several advantages, including the ability to detect subtle changes in MRI images that may be missed by human observers, the potential to provide more accurate and objective measures of disease severity, and the ability to integrate data from electronic health records and other sources.
Overall, this approach has the potential to improve medical decision-making and provide more personalized care for patients with cardiovascular disorders, thus helping to reduce the burden of these conditions on individuals and society.

Brugerbedømmelser af Cardiovascular Disorder Severity Analysis in Magnetic Resonance Images



Find lignende bøger
Bogen Cardiovascular Disorder Severity Analysis in Magnetic Resonance Images findes i følgende kategorier: