Osmosis
发表于 2025-3-28 16:19:31
Transformer-Based Annotation Bias-Aware Medical Image SegmentationRecently, researchers have suggested that such bias is the combination of the annotator preference and stochastic error, which are modeled by convolution blocks located after decoder and pixel-wise independent Gaussian distribution, respectively. It is unlikely that convolution blocks can effectivel
FRAX-tool
发表于 2025-3-28 21:52:41
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进取心
发表于 2025-3-28 23:03:57
A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Imagesteractions within the larger tissue environment in the brain. Despite the significant progress in achieving accurate NIS within small image stacks using cutting-edge machine learning techniques, there has been a lack of effort to extend this approach towards whole-brain NIS from light-sheet microsco
Enzyme
发表于 2025-3-29 04:43:37
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentationtomatically segment the brain tissues of a 6-month-old infant (isointense phase), even for manual labeling, due to inherent ongoing myelination during the first postnatal year. The intensity contrast between gray matter and white matter is extremely low in isointense MRI data. To resolve this proble
阐释
发表于 2025-3-29 08:10:48
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carotid-bruit
发表于 2025-3-29 12:01:57
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obtuse
发表于 2025-3-29 17:22:41
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Palpate
发表于 2025-3-29 22:20:41
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRIal kinetic characteristics and deep learning to improve segmentation performance. However, the difficulty in accessing complete temporal sequences, especially post-contrast images, hinders segmentation performance, generalization ability and clinical application of existing methods. In this work, we
ECG769
发表于 2025-3-30 00:15:56
CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Kneesple views with stacked 2D slices, ensuring diagnosis accuracy while saving scanning time. However, obtaining fine 3D knee segmentation from multi-view 2D scans is challenging, which is yet necessary for morphological analysis. Moreover, radiologists need to annotate the knee segmentation in multiple
HAUNT
发表于 2025-3-30 04:49:50
One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectificationimited by the lack of annotated data. One-shot segmentation based on learned transformations (OSSLT) has emerged as a powerful tool to overcome the limitations of insufficient training samples, which involves learning spatial and appearance transformations to perform data augmentation, and learning