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We considered parametric and non-parametric approaches to estimate the ALCS based on our manually marked data points.
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The automatically marked data are viewed within a new window, where they are manually reviewed for further processing.
This type of "point cloud" is not generated in our data, as our data points are manually marked just along the top of the ALCS in each SDOCT B-scan.
Figure 9 Procedure for generating the two types of test data: (a) Test data 1 is manually obtained by combining the ground-truth 2D FFPs for the visible facial regions and the manually marked 2D FFPs for the self-occluded facial region; (b) Test data 2 is derived by automatically detecting the FFPs using the AAMs fitting algorithm.
We also manually marked the landmarks for the selected sequences to create the ground truth data.
We manually marked the location of each cell nucleus in each frame and 285 data points were obtained for each protein.
The shape is manually marked.
All the epilepticform discharges were manually marked by an epileptologist.
a A sample video was taken, and some head and foot points were manually marked.
Due to the software limitations, all trajectories were manually marked to ensure accuracy.
We manually marked the locations of P-waves and when the classifier identified a region in ±10 samples around the marked location.
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