Sentence examples for advantage in image from inspiring English sources

They concluded that [68Ga]EDTMP has no advantage in image quality.

Since, in this case, most classical methods give rise to the Gibbs phenomenon (generation of oscillations near discontinuities), we present new methods for particle tracking based on subdivision schemes and especially on the Piecewise Parabolic Harmonic (PPH) scheme which has shown its advantage in image processing in presence of strong contrasts.

In 2008 a federal appeals court ruled against it, but Ms. Fussell said that the company "has turned that to its advantage" in image-making.

The approach they used demonstrated advantages in image acquisition, pre-processing, and quantitative analysis.

OCM has an advantage in imaging depth [ 19], although both OCM and confocal reflectance microscopy generate images of tissue reflectance.

The reference SUV (SUVref) methodology allows users to continue to take advantage of improvements in image quality, from developments in scanner hardware and reconstruction technologies, when reviewing the clinical images.

Given all reconstructions evaluated with SUVmax produced RCs that were above the EANM-specified bounds, application of the SUVref filter would ensure clinical sites using these reconstruction protocols produced quantifiably conforming values whilst allowing them to take advantage of improvements in image quality associated with advanced reconstruction protocols.

Therefore a field-programmable gate array (FPGA) could be of advantage in terms of image acquisition and metric calculation time.

As such, the reading physician can take advantage of the improvements in image quality and lesion detectability associated with advances in scanner hardware and reconstruction [9].

The proposed method has a clear advantage in precisely predicting the image quality while tested for images degraded by JPEG2000 and JPEG compression and distortions like Gaussian blur, fast fading channel, and white noise.

Due to such advantage, RT is widely used in image analysis, such as watermarking, image enhancement, image de-noising, and texture classification [26, 27].