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Gong et al. [2] summarized the GPS data features usually used for trip segmentation in existing research.
The time elapsed between two consecutive records is the decisive feature used for trip segmentation, with the premise that the vehicle or subject stops in a certain location.
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We then validated the cell segmentation algorithm by visually inspecting the segmented image results with the staining patterns used for the segmentation by overlaying the segmentation masks onto biomarker images using visualization software.
The following paragraphs will briefly discuss several existing segmentation techniques used for medical image segmentation.
Vertical and horizontal histograms are used for character segmentation.
The threshold in intensity histogram is used for background segmentation.
A probabilistic measure is used for the segmentation.
The proposed algorithm I is used for the segmentation.
Threshold-based method was used for the segmentation of ribs.
Clustering can be used for image segmentation.
Mathematical morphological methods were used for automatic segmentation of lesions.
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