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To characterize the error of optical coherence tomography (OCT) measurements of retinal nerve fiber layer (RNFL) thickness when using automated retinal layer segmentation algorithms without manual refinement.
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In all cases, the different GANG, GIGG, and TIHG motifs of the Retroviridae LTRCAPs usually align pattern3-to-pattern-3 without needing manual refinement.
Finally, analysis using the raw (i.e., without any manual refinement) retinal fractal dimension data was done to exclude any bias from the manual part of fractal grading in our study.
In supplementary analyses, the pattern of association was similar with the use of eye-specific data (supplemental Table 1 available in an online appendix at http://dx.doi.org/10.2337/dc08-1233) orawaw (i.e., without any manual refinement) retinal fractal dimension data (supplemental Table 2).
Average DSC rates for pathological lung segmentation results are given in comparison with frequently used region growing algorithm (from ITK repository), with and without using manual refinements.
Segmentation was performed using strictly an automated approach after minor operator input to the selection of the seed voxel in the enamel of the tooth without focused manual refinements in an attempt to test an efficient measurement procedure.
It allows automatic generation of a prototype code from the domain models and manual refinement of it.
ClustalW [31] was used for multiple alignments with manual refinement.
An additional manual refinement against low quality sequences was performed.
To reach the optimal segmentation accuracy the time used for the manual refinement was not limited.
We visually inspected the alignments and performed manual refinement.
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