Sentence examples for maximum intensity threshold from inspiring English sources

Exact(3)

40P = 40% of maximum intensity threshold.

The first method used a 42% maximum intensity threshold VOI drawn on each time frame.

Three readers segmented tumours using freehand (FH), 40% of maximum intensity threshold (40P), and fuzzy locally adaptive Bayesian (FLAB) algorithms.

Similar(57)

To evaluate cluster size, single channel images were extracted, collapsed along the z-axis using the maximum intensity algorithm, and thresholded at the arbitrary values of 80 (Homer1b, Shank1 and synaptophysin), 230 (surface mGluR1), or 135 (total mGluR1).

If no wave was detected at maximum intensity stimulation, a nominal threshold of 110 dB SPL was assigned.

The 2D analysis was performed in maximum intensity projections applying a threshold of mean intensity + twice standard deviation of a representative background region.

As shown in Fig.  6, the histogram depicts two domains clearly, and the higher peak intensity region separated by the maximum intensity and the binary threshold intensity can be taken to be the polystyrene in the tablets.

We remove these by first detecting the contour of the embryo in a maximum intensity projection using Otsu thresholding (Otsu, 1979) and marker-based watershed segmentation (Meyer, 1994), and then discarding all object calls that are outside the convex hull of the detected embryo contour.

Software settings were the following: frames = up to 1000 with signal threshold > 500 000; m/z start = 200; m/z stop = 350; m/z width = 0.02; Retention time start = 0 min; Retention time stop = 7.5 min; Retention time width = 1 min. Maximum number of frames and intensity threshold were set to limit the identification process to only major OTPs.

Although it is easy to detect such spikes based on thresholding on maximum intensity value, it is not straightforward to correct such spikes.

A normalized threshold for edge detection was calculated by dividing the mean values below the Otsu threshold by the maximum intensity value of the image.

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