2d Multiresolution Wavelet-based Bone Fracture Detection
- Indbinding:
- Paperback
- Sideantal:
- 38
- Udgivet:
- 4. marts 2023
- Størrelse:
- 152x2x229 mm.
- Vægt:
- 72 g.
- 8-11 hverdage.
- 10. december 2024
På lager
Forlænget returret til d. 31. januar 2025
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- 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.
- 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 2d Multiresolution Wavelet-based Bone Fracture Detection
"2d Multiresolution Wavelet-based Bone Fracture Detection" by Patel Anand Jayantibhai is a comprehensive guide on the use of wavelet-based techniques for the detection of bone fractures. The book provides a detailed analysis of the 2D multiresolution wavelet transform, and its application to medical image processing for the accurate detection of bone fractures.
This book covers various aspects of wavelet-based techniques, including the basics of wavelet transform, the different types of wavelet families, the concept of multiresolution analysis, and the use of wavelet-based techniques for medical image processing. The author also discusses the challenges and limitations associated with the detection of bone fractures using wavelet-based techniques.
The book is an excellent resource for researchers, students, and medical professionals interested in the field of medical image processing and the detection of bone fractures. It provides valuable insights into the latest techniques and advancements in the field, and the use of wavelet-based techniques for medical image analysis.
This book covers various aspects of wavelet-based techniques, including the basics of wavelet transform, the different types of wavelet families, the concept of multiresolution analysis, and the use of wavelet-based techniques for medical image processing. The author also discusses the challenges and limitations associated with the detection of bone fractures using wavelet-based techniques.
The book is an excellent resource for researchers, students, and medical professionals interested in the field of medical image processing and the detection of bone fractures. It provides valuable insights into the latest techniques and advancements in the field, and the use of wavelet-based techniques for medical image analysis.
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