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Although it is impossible to give universal rules for detection limits, it has been demonstrated that even in the case of tumours that take up FDG in large amounts, such as melanoma, the sensitivity of FDG PET declines when the diameter of the tumour is less than 6 mm.
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The DET module uses the following decision rule for detection response.
Consequently, one needs to resort to suboptimal schemes and heuristics to achieve the desired objectives and the optimal decision rule for detection should be determined at the sensor node level sometimes even before deployment [25].
For intrahepatic cholangiocarcinoma, the same CT rules as for detection of metastasis recurrence apply.
A representative example of how rules for anomaly detection are defined and applied is given by the LEarning Rules for Anomaly Detection (LERAD) model [25, 26].
For every input, the output is computed using Table 1 The rules for target detection.
We have studied fusion rules for distributed detection in random clustered WSNs.
In this section, we review fusion rules for distributed detection in a cluster WSN.
This model can be used to extract rules for anomaly detection analysis.
Objective: To identify simple clinical rules for the detection of a diffuse peripheral neuropathy among older outpatients.
Recent applications of this approach have introduced new decision rules for target detection in Pareto and Weibull distributed clutter.
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