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Analytical (segmentation-based) methods rely on segmentation of ligatures into characters either explicitly [14, 15] or implicitly [16 18].
As explained earlier, sequencing strategies relying on shotgun segmentation or primer walking are not adequate for tandemly repeated sequences, such as AS.
These methods mainly rely on implicit segmentation of characters and report high recognition rates.
The identification of the narrowed breakpoints relies on a segmentation algorithm and is statistically assessed.
Although publications on 3D modeling of the VT exist for quite some time [ 12, 13], they rely on manual segmentation.
Image object tracking in fluorescent time-lapse images is another well-studied topic that relies on image segmentation.
Relying on others to spell.
In contrast, our approach for segmentation is relying on other cues.
The clustering approach is more generally applicable in comparison to those relying on application dependent knowledge for segmentation, like zero velocity points as used in [18], [19].
Our segmentation was evaluated by relying on a robust ground truth.
The literature has shown an increasing reproducibility and accuracy of algorithms used for this segmentation although many still rely on either manual segmentation or manual correction of automatically generated contours.
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