Sentence examples for the leading edge method from inspiring English sources

Endocardial area tracings, using the leading edge method, were performed in 2D mode (short and long axis views) from digital images captured on cineloop to calculate end-diastolic and end-systolic LV areas.

Endocardial area tracings using the leading edge method were performed in 2D mode (short and long axis views) from digital images captured on cineloop to calculate end-diastolic and end-systolic left ventricular (LV) areas.

Cardiac dimensions were obtained from 2-D guided M-mode images (100 frames/sec) and were read blinded using short axis and a parasternal long-axis views with the leading edge method.

Diastolic measurements were performed at the point of greatest cavity dimension, and systolic measurements were made at the point of minimal cavity dimension, using the leading edge method of the American Society of Echocardiography (http://www.asefiles.org/ChamberQuantification.pdf).

After good visualization, left ventricular end-diastolic dimension (LVDD), left ventricular end-systolic dimension (LVSD) and interventricular septal thickness in diastole (IVSD) and in systole (IVSS) were measured by the leading edge method [ 13].

M-mode measurements of LV internal dimensions (LVID) are determined at the plane bisecting the papillary muscles according to the American Society of Echocardiography leading edge method on 5 heart beats chosen at random by each observer.

We used the wave diameter and leading edge methods and measured the CME heights for a set of 32 metric type II bursts from solar cycle 24.

We tested each of the above pathway-based classification methods in this procedure, including the leading edge gene (GLEG) method and the pathway based biomarker (GPF) method.

The leading edge post-processing method reduces the satellite signature effect and gives a more stable reference level (meanLE) for the normal points.

For the reciprocal test, the leading edge gene (GLEG) method trained on the Wang data set achieved 68.97% accuracy in classifying metastasis in van de Vijver et al. [ 6], while the reciprocal accuracy (training using van de Vijver and testing on Wang data) yielded 65.83% accuracy (as before these accuracies are reported on data sets balanced between the two phenotypes).

The GLEG (GSEA-based Leading Edge Gene feature) method collects the leading edge genes in the above top GSEA 40 pathways, and uses them directly as features in an SVM to discriminate between the two classes of interest.