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I love big medical datasets, I work on them in my day job, and I can think of a hundred life-saving uses for better ones.
Figure 6 Subjective sharpness values for Datasets I and II.
Figure 1 Analyzed datasets (i, ii and iii).
Datasets I and II were divided into five groups, each representing one content.
Based on Figure 6, there are clear differences in the scales of Datasets I and II.
We tested our model on three different datasets: (i) DR1[6] grayscale 640×480 images.
The proposed method was validated using two datasets (Datasets I and II).
The most notable differences between Datasets I and II can be found in Contents 4 and 5.
The first set of experiments (combination1) employed datasets (i) & (ii) while the second set of experiments (combination2) employed (iii) & (iv).
Table 1 shows the LCC after the nonlinear fitting for the proposed and reference metrics for Datasets I and II.
Figure 6 shows the content specific subjective sharpness values for Datasets I and II, sorted in ascending order.
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CEO of Professional Science Editing for Scientists @ prosciediting.com