Neural-network-based inverse-scattering technique for online microwave medical imaging

2002 ◽  
Vol 38 (2) ◽  
pp. 1061-1064 ◽  
Author(s):  
I.T. Rekanos
Keyword(s):  
Neural Network ◽  
Medical Imaging ◽  
Inverse Scattering ◽  
Scattering Technique

THE TYPES OF AXISYMMETRIC EXACT SOLUTIONS CLOSELY RELATED TO n-SOLITONS FOR YANG–MILLS–HIGGS THEORY

1999 ◽  
Vol 14 (08n09) ◽  
pp. 585-592
Author(s):  
ZAI ZHE ZHONG
Keyword(s):  
Exact Solution ◽  
Exact Solutions ◽  
Inverse Scattering ◽  
Real Matrix ◽  
Zakharov Equation ◽  
Yang Mills ◽  
Scattering Technique

In this letter, we point out that if a symmetric 2×2 real matrix M(ρ,z) obeys the Belinsky–Zakharov equation and | det (M)|=1, then an axisymmetric Bogomol'nyi field exact solution for the Yang–Mills–Higgs theory can be given. By using the inverse scattering technique, some special Bogomol'nyi field exact solutions, which are closely related to the true solitons, are generated. In particular, the Schwarzschild-like solution is a two-soliton-like solution.

scholarly journals Denosing CT/MRI Images Restoration using Radial Basis Function Neural Network

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1364-1369
Keyword(s):  
Neural Network ◽  
Medical Imaging ◽  
Image Restoration ◽  
Radial Basis Function ◽  
Image Denoising ◽  
Basis Function ◽  
Medical Examination ◽  
Imaging Technology ◽  
Large Numbers ◽  
Original Domain

Medical imaging technology is becoming an important component of large numbers of applications such as diagnosis, treatment, survey and medical examination. Image restoration manages conveying back the bended image to its original domain. It re-establishes the corrupted image into keener image. This paper centers around evacuation of noise strategies in medical images with denoising a point by point overview has been completed on various image denoising methods and their exhibitions were evaluated and it is an activity to examine and evaluate various variations of denoising methods to enhance their execution and visual standard.

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