Sentence examples for use of post processing from inspiring English sources

Recent studies have explored the use of post processing such as 'virtual endoscopy' which maybe useful in evaluating features such as subglottic extension[ 5 ].

Possible research directions are proposed to improve the simulated patterns, including the use of post-processing, the control of cell orientation or the implementation of other tessellation techniques.

The feasibility of in vivo dental volume measurements using CBCT imaging has similarly been reported by Liu et al.; however, their use of post-processing surface smoothing has been shown to decrease 3D volume measurements [21].

The system is automated and controlled through Matlab (Mathworks Inc), which is also is used for post processing of the images.

The error rates reported for Sanger sequencing vary from 0.001% [ 13, 18] to more than 1% [ 19, 20] and seem to depend on the software that is used for post processing of reads.

It therefore appears that shearwater achieves a good level of specificity, given that Caveman used a series of post-processing filters, whereas deepSNV and MuTect did not.

All radiologists were familiar with the use of both types of post-processing due to their participation in activities at the national training center for breast cancer screening.

To evaluate the performance of a prototype, fully-automated post-processing solution for whole-liver and lobar segmentation based on MDCT datasets.A polymer liver phantom was used to assess accuracy of post-processing applications comparing phantom volumes determined via Archimedes' principle with MDCT segmented datasets.

Use a post processing filter to automatically adjust the interpolation of a video file.

Furthermore we investigated (i) multiple deep learning architectures, (ii) the correlation between synthetic and empirical dataset size on part segmentation performance, (iii) the effect of post-processing using conditional random fields (CRF) and (iv) the generalisation performance on other related datasets.

The existing wavelet source detection algorithm was modified and a set of post-processing scripts used to correct the results.