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Titlebook: Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries; 8th International Wo Spyridon Bakas,Alessandro Crimi,Reuben Dor

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樓主: Washington
21#
發(fā)表于 2025-3-25 07:24:18 | 只看該作者
MS-MT: Multi-scale Mean Teacher with?Contrastive Unpaired Translation for?Cross-Modality Vestibular l scarcity and boost cross-modality segmentation performance. Our method demonstrates promising segmentation performance with a mean Dice score of . and . and an average asymmetric surface distance (ASSD) of 0.55 mm and 0.26 mm for the VS and Cochlea, respectively in the validation phase of the cros
22#
發(fā)表于 2025-3-25 09:09:53 | 只看該作者
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發(fā)表于 2025-3-25 14:23:31 | 只看該作者
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發(fā)表于 2025-3-25 15:53:41 | 只看該作者
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發(fā)表于 2025-3-25 23:47:41 | 只看該作者
Efficient Federated Tumor Segmentation via?Parameter Distance Weighted Aggregation and?Client Prunineneity, largely affecting the training behavior. The heterogeneous data results in the variation of clients’ local optimization, therefore making the local client update not consistent with each other. The vanilla weighted average aggregation only takes the number of samples into account but ignores
26#
發(fā)表于 2025-3-26 04:10:47 | 只看該作者
Brainlesion:Glioma, Multiple Sclerosis, Strokeand Traumatic Brain Injuries8th International Wo
27#
發(fā)表于 2025-3-26 08:00:02 | 只看該作者
28#
發(fā)表于 2025-3-26 11:54:58 | 只看該作者
P. Cerletti,F. Bonomi,S. Paganiollow-up images of 4 different modalities including t1, t1ce, flair and t2 are provided. For each case, we apply QPDIR to register image pairs of each modality to produce the deformation field, and then add the deformation field to landmarks, and merge the predict landmarks of each modality together
29#
發(fā)表于 2025-3-26 15:21:28 | 只看該作者
30#
發(fā)表于 2025-3-26 18:46:47 | 只看該作者
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