The strength of DICE lies in its partial-symmetric key nature i.e. even discovery of encryption key by hacker will not guarantee decoding of the original message. 展开 关键词: Digital watermarking DICE Partial-Symmetric key algorithm Block cipher ...
This underscores MedSAM’s superior generalization ability, making it a versatile tool in a variety of medical image segmentation tasks. Loss function We used the unweighted sum between cross-entropy loss and dice loss40 as the final loss function since it has been proven to be robust across ...
3a shows the median dice similarity coefficient (DSC) score of these tasks for the four methods. Overall, SAM obtained the lowest performance on most segmentation tasks although it performed promisingly on some RGB image segmentation tasks, such as polyp (DSC: 91.3%, interquartile range (IQR):...
PyTorch implementation of the U-Net for image semantic segmentation with high quality images - milesial/Pytorch-UNet
an unsupervised enhancement approach is introduced that can reduce the gap between the training set and test set and improve the model generalization. The enhanced results show a dice score of 0.8069 and specificity and sensitivity of 0.9969 and 0.8354, respectively. Furthermore, the results indicate...
Automatic segmentation of the proximal femur achieved a high dice similarity score of 0.940.05 with precision = 0.950.02, and recall = 0.940.08 using a CNN architecture based on 3D convolution exceeding the performance of 2D CNNs. The high segmentation accuracy provided by CNNs has the ...
In comparison to the manual segmentation, the semi-automatic segmentation produced contours with median dice metrics of 0.95 and 0.87 and median Hausdorff distance of 5.05 and 7.35 mm for contours at end-diastolic and end-systolic phases, respectively. The inter- and intra-observer variability of ...
The COVID-19 pandemic overwhelms the medical resources in the stressed intensive care unit (ICU) capacity and the shortage of mechanical ventilation (MV). We performed CT-based analysis combined with electronic health records and clinical laboratory resu
The segmented images were then quantitatively examined using Dice similarity coefficient38 to compare the similarity between the reference and inpainted data. To assess the accuracy of the volumetric measures estimated from the inpainted data, a voxel-based morphometry method based on the SPM12 ...
Result: Our method was validated on a set of 48 CT images, obtained from the Medical Image Computing and Computer Assisted Intervention (MICCAI) Challenge 2015. The Dice coefficient (DC) and the 95% Hausdorff Distance (95HD) are computed to measure the accuracy of the segmentation results. ...