I have noticed that I received solely positive feedback and recognition for my actions. No constructive criticism was given to me so it is difficult to identify regions of improvement based on the peer feedback. The ranking of team competency also highlights 3 areas, my self score, my peers ...
In contrast to the early prediction of RUL, the score function imposes a greater penalty on the delayed prediction of RUL. Their calculation formulae can be denoted as: RMSE=1𝑁∑𝑖=1𝑁(𝑦⌢𝑟𝑖−𝑦𝑟𝑖)2−−−−−−−−−−−−−−− ⎷ RMSE...
Figure 12 presents the comparison of “Homogeneity” and “Contrast” for each case using a network without cycleGAN and each tested network. In the non-dense breasts type, the network without cycleGAN and each tested network were similar in terms of “Homogeneity”. Moreover, there was only ...
in this experiment. In the above section, we presented the experimental metrics. In order to ensure the fairness of the experiments, the parameters of the above comparison experiments have been tuned to be optimal, and the best detection results of various methods are taken for comparison. ...
between each sub-volume 𝐺𝑗Gj and the pixel A to be measured is calculated by Formula (15); 4: The similarity score 𝑆𝑗Sj of 𝐺𝑗Gj and A is calculated by Formula (16); 5: According to Formula (17), the highest score 𝑆maxSmax in 𝑆𝑗(𝑗=1,2,…,8)Sj(...
The Dice score for the infection region was highest for the Zenodo 20P data, showing a better infection area segmentation. The mean Dice score for the MedSeg dataset was low (0.854) compared to the above-mentioned datasets. The Dice score for the infection class (0.752) was lower than the ...
The bold numbers represent the best score. 4.4. Comparisons with Other Networks 4.4.1. Comparison of LandCover Dataset To show the effectiveness of DGFNet, the proposed method is compared with the state-of-the-art methods, as listed in Table 4. The neural network DANet [26], PSPNet [27...