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Recently, investigators have proposed a method to image neural connectivity noninvasively using a magnetic resonance imaging method called diffusion tensor imaging (DTI).
Magnetic resonance imaging (MRI) is an attractive method to image biomaterial implants owing to its high spatial resolution and absence of ionizing radiation.
A method to image transplanted islets noninvasively and repeatedly would greatly assist studies of islet transplantation.
Herein, a light-field reconstruction method to image the RI map within a depth of 0.2 μm is proposed.
We employed the ambient noise tomography method to image the upper crustal structure under this study area.
Before MatchMiner or Near Duplicate Image Detection, Video Google [18] applied bag-of-visual-words and tf-idf weighting method to image retrieval.
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It is also needed to ensure applicability of a method to images of different content (including highly textural ones) and different noise levels (intensities) including non-intensive noise.
In this paper, we have introduced a framework of anisotropic mesh adaptation methods to image representation.
There is a need for improved methods to image genetically engineered cells, including immune cells used for cell-based therapy.
The chapter presents the principles behind WM smoothers and WM filters and discusses the applications of these nonlinear methods to image processing.
Fortunately, there are several software packages which can apply machine learning methods to image classification without requiring any prior knowledge of the subject.
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