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Purpose This paper is to propose a new framework for medical image registration with large nonrigid deformations, which still remains one of the biggest challenges for image fusion and further analysis in many medical applications. Method Registration problem is formulated as to recover a deformation process with the known initial state and final state. To deal with large nonlinear deformations,...
The accurate localization of prostate cancer is important as it can affect both surgical and radiation treatment planning. Generating accurate ground truth is critical for reliable validation. Although, some part of this ground truth is contained in certain set of data such as pathological analysis and images of the organ, there exists some degree of random error from inter/intra-expert variabilities...
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