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We demonstrate performance results on a real medical imaging application.
We provide numerical experiments and analytical evidence for our methods and we consider an explicit medical imaging application.
In this article, we have designed an advanced visual processing system (ViPS) that stores and processes complex and multi-dimensional medical imaging application.
Optimised designs are considered for a variety of source collimator distances (z=10, 20, 30, 40 mm) which represent typical sentinel node to collimator distances for our particular medical imaging application.
We chose the iv route to mimic potential human medical imaging application and provide cleaner pharmacokinetic profiles without the complication of the absorption phase.
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Disruptive technologies such as the world-wide-web, wireless networking, Open Source software and recent emergence of cyber communities and social networks have imposed an accelerated pace and major quantum leaps in the progress of computer and technology infrastructure applicable to medical imaging applications.
Medical imaging applications produce large sets of similar images.
In most of medical imaging applications, there are much more features than images (p
For both radar processing and medical imaging applications, backprojection provides a method for reconstructing an image from the data that are collected by the transceiver.
Signal and image separation is an important processing step for accurate image reconstruction, which is increasingly applied to many medical imaging applications and communication systems.
It focuses also on acquisition systems, consumer imaging applications, and medical imaging applications.
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