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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
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發(fā)表于 2025-3-30 11:32:59 | 只看該作者
Macrophages in the Uterus and Placenta,gmentation methods have shown promising results without requiring the time-consuming and laborious manual labeling process. In this paper, we present an approach for VS and cochlea segmentation in an unsupervised domain adaptation setting. Specifically, we first develop a cross-site cross-modality u
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發(fā)表于 2025-3-30 12:51:50 | 只看該作者
https://doi.org/10.1007/978-3-642-77377-8oration selection to manage and optimize communication payload. We introduce a practical and cost-efficient method for regularized weight aggregation and propose a laborsaving technique to select collaborators per round. We illustrate the performance of our method, regularized similarity weight aggr
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發(fā)表于 2025-3-30 17:45:07 | 只看該作者
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發(fā)表于 2025-3-30 21:55:09 | 只看該作者
Venkata Sita Rama Raju Allam,Maria B. Sukkaron models have been proposed. Based on the platform that BraTS challenge 2021 provided for researchers, we implemented a battery of cutting-edge deep neural networks, such as nnU-Net, UNet++, CoTr, HRNet, and Swin-Unet to compare performances amongst distinct models directly. To improve segmentation
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發(fā)表于 2025-3-31 03:46:26 | 只看該作者
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