WebSep 9, 2024 · Furthermore, Wu et al. used a physical phantom to validate DIR for CT and MR images and obtained Dice similarity coefficients (DSCs) of 0.88–0.92 between MR and MR images and 0.71–0.90 between CT and MR images. The DIR between different modalities is less accurate than that between images of the same modality. Although … WebWith data augmentation included during the training process, Dice similarity coefficients (DSCs) between ground truth and DNN predictions were maximized, producing mean ± standard deviatio values as high as 0.48 ± 0.29, 0.45 ± 0.25, and 0.46 ± 0.35 when segmenting in vivo A-line, B-line, and consolidation features, respectively.
Fully automated condyle segmentation using 3D convolutional …
WebDice similarity coefficients (DSCs) and CSA errors were calculated to evaluate system performance. The degree of muscle fat infiltration (MFI) recording by percentage value … WebOur results are remarkable, i.e., reaching \sim94% (prostate), \sim91% (bladder), and \sim86% (rectum) of the Dice Similarity Coefficients (DSCs), compared to the case of fully supervised learning upon high-quality voxel-wise annotations and also superior to several state-of-the-art approaches. bing lee microwave ovens
Dice similarity coefficient Radiology Reference Article - Radiopaedia
WebJul 23, 2024 · The proposed model achieves Dice similarity coefficients (DSCs) of 81.61%, 92.87%, 89.87%, and 96.98% on DRIVE, CVC-ClinicDB, ISIC2024, and Aorta-CT, respectively, which are better than those of current mainstream methods. In particular, the DSC of polyp segmentation increased by 3.87%. Conclusion WebMetrics such as Dice and Hausdorff coefficients, comprehensively used in several papers reviewed 6,[9] [10] [11] may be useful to include in automated dose accumulation … WebThe number of training, validation and test sets were 160, 40 and 32, respectively. Dice similarity coefficients (DSCs) of the test set were evaluated employing Smart Segmentation ® Knowledge Based Contouring (Smart segmentation is an atlas-based segmentation tool), as well as the 2D and 3D U-Net. bing lee microwave