Sentence examples for detection whether or not from inspiring English sources

For each case, the method of breast cancer detection, whether or not at screening, was determined by each program, independently of this study, and was based upon the active follow-up of women in whom abnormalities had been found.

These data also indicate that PCR can still be a more sensitive method than viral culture as a means of HSV detection, whether or not the tested specimen is subjected to nucleic acid extraction prior to analysis.

Although risk profile based on biomarkers can help to improve the ability to discriminate between low- and high-risk patients, accurate detection whether or not the tumor has actually already disseminated would be preferred.

where ({hat {x}^{text {(used)}}}) denotes the actual value which will be used in the ICI reconstruction and ρ is a threshold value which determines whether or not the detection is sufficiently reliable or not.

A detoured path detection method is presented to detect whether or not the shortest path between nodes is detoured by measuring the path deviation between the direct and shortest paths of a node pair.

The software output includes summary statistics of probe set intensity such as signal and p-values for detection (detection p-values) testing whether or not signal was significantly greater than 0. Quality of the automated grid alignment was assessed using a MATLAB (The MathWorks, Natick, MA) script [ 11].

Active TB cases are divided into four groups according to whether they will be detected and treated thanks to passive detection (D) or not (T) and whether they are infectious (subscript i) or not (subscript n).

As we need the instantaneous reliability of the detection symbols to decide whether or not to use each detection symbol, the proposed DS (deterministically selective) scheme which simply excludes the fixed number of band edge subcarriers still has room to be improved if we can accommodate the instantaneous reliability of the detection symbols.

The success of the skin color detection crucially depends on whether or not the illumination conditions during the online operation of the detector are similar to those during the acquisition of the training data set.

After downconversion to baseband and low-pass filtering, each signal of interest is processed through a feature detection block to determine whether or not it is an OFDM signal and to estimate blindly its symbol duration, its cyclic prefix duration (or its zero-padding duration ) and its number of subcarriers [12].

This happens for instance when we perform a detection at the slits, whether or not we believe that measurements are related to a 'true' collapse of the wave function (i.e. that only one of the components survives the measurement and proceeds to hit the screen).