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Quantitative lower-limb muscle MRI using readily implementable methods was sensitive enough to demonstrate inter-muscle differences (small in health), and correlations with subject age and weight.
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Both methods were sensitive to detect human regions so there were few false negative errors.
However, traditional correlation-based image matching methods are sensitive to rotation and scale changes.
Existing phalangeal joint locating methods are sensitive to light illumination and cannot locate phalangeal joint stably.
Unfortunately, such transformation methods are sensitive to the accuracy of the statistics estimation.
Traditional intensity-based methods are sensitive to intensity distortions, contrast agent and noise.
Electrical methods are sensitive to both the presence and nature of formation fluids.
Thus, from Figures 1-3 we see that both AOR and AOAOR methods are sensitive to the parameters ω and γ.
LBP-based methods are sensitive to noise and illumination changes and they also lack explicit motion encoding.
However, these range-based methods are sensitive to the surrounding environments and obstacles can easily produce errors.
However, it is necessary to show whether the prioritization methods are sensitive to these parameters.
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CEO of Professional Science Editing for Scientists @ prosciediting.com