For benchmark set 1, the average precision of the initial classification is 0.44 with an average recall of 0.54 for tomograms without noise.
The recall and precision of the initial cluster were approximately 39 and 34%, respectively.
Without considering time requirements, the retrieval precisions obtained for the initial 20(40) result images (denoted as Top (20(40))) are shown in Figure 6. Figure 6 Retrieval precision for different numbers of semantic features.
While our approach has lower precision among the initial top predictions (at recall less than 5%), beyond that we attain substantially greater precision: for example, at 40% recall, our approach attains more than three times the precision than the other clustering approaches (28% versus 9%).
However, for smaller values of R seed, the size-based filtering helps achieve higher precision in the initial seeds.
> -wrap-foot> > -wrap-foot> For benchmark set 2, precision and recall for the initial classification is substantially higher for tomograms with low noise levels in comparison to set 1.
Because of the low precision and the initial close encounter, solutions will diverge very quickly.
To assess the influence of the object placement, 50 different tomograms were generated for sets 1 and 2. The classification results are robust with the SDs for the average precisions of about 0.1 0.2 for the initial and GHMRF-based classifications at all noise levels (Tables 1 and 2).
Result pages in Relemed start with a precision of 100%, while the initial precision in PubMed is 30%.
Methodically, the optimization for the locations {x i } takes a different form for the initial (full pixel precision) and the subsequent (sub-pixel) estimates.
Different methods for the initial moist air curing significantly impacted the precision of testing method and resulted in the strength variation of cement on 1 d.
