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This information can then be used to define optimized segmentation thresholds.
The latter is provided as a reference to set the segmentation thresholds.
A plot of the background average plus three times its standard deviation is included as a reference to set the segmentation thresholds.
These regions of interest are then further refined using specific Hounsfield unit (HU) segmentation thresholds in CT [1] or grey-level value thresholds in MRI, the latter requiring more complicated segmentation algorithms [51, 52].
The effect of different reconstruction algorithms on PET-based volume segmentation was analyzed in a recent study and showed a substantial influence of reconstruction algorithms on segmentation thresholds [28].
The HID-AB macro used three different segmentation thresholds based on hue, saturation, and intensity to isolate areas within each ACF and place them into three separate classes based on color: HID (dark brown), AB (blue), and unstained (absence of brown or blue color).
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Another important parameter for MiTracker is the segmentation threshold.
The segmentation threshold is crucial to binary classification, so it must be selected carefully.
We obtain the third segmentation threshold T3, which ranges from 0 to T1.
We choose T as the optimal segmentation threshold when ϑ achieves the maximum value using the traversal method.
To reduce the influence of illumination, a fuzzy system is designed to adaptively determine the fuzzy classifier segmentation threshold according the V color space of an image.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

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