Search alternatives:
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a point » _ point (Expand Search), 5 point (Expand Search), _ points (Expand Search)
point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), mean decrease (Expand Search), teer decrease (Expand Search)
nn decrease » _ decrease (Expand Search), mean decrease (Expand Search), gy decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a point » _ point (Expand Search), 5 point (Expand Search), _ points (Expand Search)
-
13781
Patient characteristics.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
-
13782
Comparison with baseline methods.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
-
13783
The details of the channel attention module.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
-
13784
Ablation experiments.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
-
13785
Pathological diagnosis.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
-
13786
The details of ECRNet.
Published 2024“…On the XJTU-EC dataset, CM-UNet achieves an excellent segmentation performance, and ECRNet obtains an accuracy of 98.50%, a precision of 99.32% and a sensitivity of 97.67% on the test set, which outperforms other competitive classical models. …”
-
13787
-
13788
Impact of Manganese Carbonate Precipitation on Uranium(VI) Fate in Conditions Relevant to Carbonate-Buffered Aquifers
Published 2024“…Reactive modeling of Mn and DIC data exhibited a decrease in the surface area normalized rate constants of MnCO<sub>3(s)</sub> precipitation from 5.9 to 3.3 × 10<sup>–8</sup> mol m<sup>–2</sup> h<sup>–1</sup> with an increase in initial U(VI) from 0 to 500 μM. …”
-
13789
Impact of Manganese Carbonate Precipitation on Uranium(VI) Fate in Conditions Relevant to Carbonate-Buffered Aquifers
Published 2024“…Reactive modeling of Mn and DIC data exhibited a decrease in the surface area normalized rate constants of MnCO<sub>3(s)</sub> precipitation from 5.9 to 3.3 × 10<sup>–8</sup> mol m<sup>–2</sup> h<sup>–1</sup> with an increase in initial U(VI) from 0 to 500 μM. …”
-
13790
-
13791
-
13792
Flow chart of the study participants.
Published 2025“…We enrolled 150 mother-infant dyads into a pre-post study. …”
-
13793
Suggested modifications for the BabySaver.
Published 2025“…We enrolled 150 mother-infant dyads into a pre-post study. …”
-
13794
Mitochondrial morphologic changes in <i>A</i>. <i>lugdunensis</i>.
Published 2023“…<p>After treatment with 50 μg/mL (B) of <i>T</i>. <i>nucifera</i>, structural damage and decreased wrinkling was observed compared with that in the control group (A). …”
-
13795
-
13796
-
13797
-
13798
-
13799
-
13800
Dynamic distribution decomposition applied to Nanog-Neo cell line data taken from Zunder <i>et. al</i>. [28].
Published 2020“…<p>(a.) Fitting error plot showing log<sub>10</sub> transformed percentage error plotted against time for different values of <i>α</i> (described in main text); (b.) log-log plot of mean fitting error plotted against −log<sub>10</sub>(<i>α</i>), mean error decreases as alpha decreases; (c.) complex plot of eigenvalues λ of Perron–Frobenius matrix <i>P</i> for different values of <i>α</i>; (d.) …”