Sentence examples for errors of segmentation from inspiring English sources

Among the 520 segmentations performed, only 2.5% of segmented ROIs were removed due to consistent errors of segmentation.

A total of 13 contours (2.5%, 13/520) were removed due to consistent errors of segmentation, all observed after method 1 (260 segmentations) (Fig. 1).

By propagating the error of segmentation from all tumors spanning a given locus, we produce a representation of the uncertainty in our measurement of alteration at each locus (Methods S1).

Thus, manual correction of plotting errors of automated segmentation was not performed in this study.

The error rate of segmentation algorithms is usually determined by comparing the results of the automatic segmentation and that of manual segmentation.

Two circumstances can be treated as errors of manual word segmentation; firstly, if a ridiculous segment appears in segmentation results, it can be treated as an error (type I error); and secondly, if an indivisible segment is divided in segmentation results, it can also be treated as an error (type II error).

We decided not to allow the observers to draw complete manual segmentations but rather to correct errors of the automatic segmentation.

On the other hand, this strategy conveys at least two drawbacks that may affect the query detection: (1) The errors of the audio segmentation module can result in missing speech segments that may eventually prove to contain query terms that are lost.

Since Interslice does not have a mechanism to prevent the propagation of segmentation error to subsequent segments, we also manually verified the agreement between the start and end of the resulting speech and text chunks before using them for building the TTS systems.

With the positive result for the quality prediction sub-module certifying its ability to obtain meaningful estimates of segmentation errors of individual algorithms in as much as 94.03 % (CASIA) to 96.77 % (IITD) of segmentation failures also tests on ground truth segmentation conformity and recognition accuracy confirmed the high versatility of the suggested technique.

To investigate the prevalence, features, associated factors, and reproducibility of segmentation errors in macular ganglion cell inner plexiform layer (GCIPL) thickness measurement as determined by optical coherence tomography (OCT).