Healthcare Technology Assessment of Medical Imaging Technology

2017 ◽  
pp. 171-183
Author(s):  
Jaap Deinum ◽  
Gabriela Restovic ◽  
Peter Makai ◽  
Gert Jan van der Wilt ◽  
Laura Sampietro Colom
Keyword(s):  
Medical Imaging ◽  
Technology Assessment ◽  
Healthcare Technology ◽  
Imaging Technology

scholarly journals Healthcare technology and technology assessment

2007 ◽  
Vol 16 (8) ◽  
pp. 1293-1302 ◽  
Author(s):  
James H. Herndon ◽  
Raymond Hwang ◽  
K. H. Bozic
Keyword(s):  
Technology Assessment ◽  
Healthcare Technology

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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