蹒跚
发表于 2025-3-23 13:15:05
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irradicable
发表于 2025-3-23 14:41:51
Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodl structure to enhance the capacity of learning tumor-related features, while other valuable related information, such as normal brain appearance, is often ignored. Inspired by the fact that radiologists are often trained to compare with normal tissues when identifying tumor regions, in this paper,
Liberate
发表于 2025-3-23 20:38:38
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation techniques have recently achieved promising cross-modality medical image segmentation by transferring knowledge from a label-rich source domain to an unlabeled target domain. However, it is also difficult to collect annotations from the source domain in many clinical applications, rendering most pr
MEAN
发表于 2025-3-23 23:20:38
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentationevious multi-modal MRI segmentation methods usually perform modal fusion by concatenating multi-modal MRIs at an early/middle stage of the network, which hardly explores non-linear dependencies between modalities. In this work, we propose a novel Nested Modality-Aware Transformer (NestedFormer) to e
温室
发表于 2025-3-24 06:26:25
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentationme domain, yet their performance can degrade significantly on unseen domains, which hinders the deployment of CNNs in many clinical scenarios. Most existing works improve model out-of-domain (OOD) robustness by collecting multi-domain datasets for training, which is expensive and may not always be f
ciliary-body
发表于 2025-3-24 09:06:38
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentationobal spatial cues, and preserving information along all axes of the volume. Encoder of the proposed design benefits from self-attention mechanism to simultaneously encode local and global cues, while the decoder employs a parallel self and cross attention formulation to capture fine details for boun
Indolent
发表于 2025-3-24 12:16:06
Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models’s predictions can be used/trusted. We first propose a measure, Correctness-Confidence Rank Correlation (CCRC), to capture how predictions’ confidence estimates correlate with their correctness scores in rank. A model with a high value of CCRC means its prediction confidences reliably suggest which
Harrowing
发表于 2025-3-24 18:51:37
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指派
发表于 2025-3-24 19:48:06
a small dispute cannot be settled, that we cannot simply tick it off and put it aside, we are at the starting point of the conflict spiral. Reliable signs of an incipient conflict show up in psychological, mental changes and later in physical symptoms. We think about this conflict more and more ofte
星球的光亮度
发表于 2025-3-24 23:35:36
lly uncover new innovative ideas.Practical preparation of th.The textbook contains a comprehensive presentation of tools that can be used to systematically generate innovative ideas for new business growth ("opportunities"). In practice, it can be observed that companies make considerable efforts to