送秋波
发表于 2025-3-25 04:49:12
Uncertainty-Informed Mutual Learning for Joint Medical Image Classification and Segmentationl, UML could produce confidence estimation in features and performance for each link (classification and segmentation). The experiments on the public datasets demonstrate that our UML outperforms existing methods in terms of both accuracy and robustness. Our UML has the potential to explore the deve
妈妈不开心
发表于 2025-3-25 09:54:57
A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images NIS, particularly in addressing the issue of inter- and intra-slice gaps. We have evaluated the NIS accuracy on top of three state-of-the-art deep models with . image stacks, and visualized results in both inter- and intra-slice gaps of whole brain. With resolved gap issues, our deep stitching mode
Anticlimax
发表于 2025-3-25 13:08:34
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osteocytes
发表于 2025-3-25 19:45:34
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Expediency
发表于 2025-3-25 22:08:23
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentations of cardiac structures from different views. Furthermore, we collect a multi-view echocardiogram video dataset (MvEVD) to evaluate our method. Our method achieves an 82.29% average dice score, which demonstrates a 7.83% improvement over the baseline method, and outperforms other existing state-of-t
无情
发表于 2025-3-26 00:10:31
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包租车船
发表于 2025-3-26 06:01:50
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRItation module (SM) so that DKM is able to learn cancer hemodynamic information and provide a latent kinetic code to facilitate segmentation performance. Once the DM is pretrained, the latent code estimated from the DM is simply incorporated into the SM, which enables DKM to automatically and accurat
GRACE
发表于 2025-3-26 10:38:52
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Kneeses along the knee surface, and piece together these patch segmentations into a complete knee segmentation with help of the knee graph. Experiments conducted on the Osteoarthritis Initiative (OAI) dataset demonstrate the validity of the CAS-Net to generate accurate 3D segmentation.
hauteur
发表于 2025-3-26 15:30:31
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectificationamples to improve both the diversity of augmented data and the robustness of segmentation. Furthermore, potential label error introduced by learned transformations is rectified according to the uncertainty in segmentation. We validate the proposed method by the one-shot segmentation of consciousness
不吉祥的女人
发表于 2025-3-26 19:49:22
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