Adapting SAM to nuclei instance segmentation and classification via Cooperative Fine-Grained Refinement [0.03%]
基于协同细粒度优化的SAM核实例分割与分类方法
Jingze Su,Tianle Zhu,Jiaxin Cai et al.
Jingze Su et al.
Nuclei instance segmentation is critical in computational pathology for cancer diagnosis and prognosis. Recently, the Segment Anything Model has demonstrated exceptional performance in various segmentation tasks, leveraging its rich priors ...
TD loss: Taylor expansion of Dice loss for robust medical image segmentation [0.03%]
基于Dice损失泰勒展开的医学图像分割损耗函数(td损失)
Bin Zheng,Ziyang He,Weijin Xu et al.
Bin Zheng et al.
Label noise poses significant challenges for medical image segmentation due to annotation subjectivity and intrinsic image complexity. To mitigate this issue, we propose TD loss, a noise-robust objective function derived from the Taylor exp...
From noisy labels to intrinsic structure: A geometric-structural dual-guided framework for noise-robust medical image segmentation [0.03%]
从嘈杂的标签到内在结构：一种几何结构双引导的噪声鲁棒医学图像分割框架
Tao Wang,Zhenxuan Zhang,Yuanbo Zhou et al.
Tao Wang et al.
The effectiveness of convolutional neural networks in medical image segmentation relies on large-scale, high-quality annotations, which are costly and time-consuming to obtain. Even expert-labeled datasets inevitably contain noise arising f...
High-fidelity three-dimensional reconstruction of musculoskeletal tissues via diffusion based ultrasonic computed tomography [0.03%]
基于扩散的超声计算机断层扫描的高保真三维肌肉骨骼组织重建
Tianyu Liu,Heyu Ma,Peiwen Li et al.
Tianyu Liu et al.
Compared with computed tomography (CT) and magnetic resonance imaging (MRI), traditional ultrasound imaging suffers from limited spatial resolution, poor contrast and restricted field of view. While offering significant improvements in imag...
ViTAE-HGOT: Vision Transformer-based Autoencoder with Hypergraph Optimal Transport for cross-atlas functional connectome remapping [0.03%]
基于视觉变换器自编码器的超图最优传输跨图功能连接体重映射方法
Xuebin Chang,Xiaoyan Jia,Bicong Ren et al.
Xuebin Chang et al.
The utilization of open-source neuroimaging datasets, despite their unprecedented sample scale, poses significant challenges to cross-study comparability and multi-site data fusion due to the use of different brain atlases that generate inc...
WBCAtt+: Fine-grained pixel-level morphological annotations for white blood cell images [0.03%]
WBCAtt+: 白细胞图像的细粒度像素级形态注释
Satoshi Tsutsui,Winnie Pang,Shuting He et al.
Satoshi Tsutsui et al.
The microscopic examination of white blood cells (WBCs) plays a fundamental role in pathology and is essential for diagnosing blood disorders such as leukemia and anemia. To support further research on WBC images, multiple datasets have bee...
MRIgRT real-time target tracking: TrackRAD2025 challenge report [0.03%]
MRIgRT实时目标追踪：TrackRAD2025挑战报告
Tom Julius Blöcker,Pia A W Görts,Yiling Wang et al.
Tom Julius Blöcker et al.
Magnetic resonance imaging (MRI)-guided radiotherapy (MRIgRT) integrates MRI with linear accelerators (MRI-linacs), enabling real-time motion management based on temporally resolved 2D MRI (cine-MRI). Current systems rely on template matchi...
NeuralBoneReg: An instance-specific label-free point cloud-based method for multi-modal bone surface registration [0.03%]
基于点云的实例特定无标记多模态骨表面配准方法神经骨注册：一种实例特定的无标签点云基方法用于多模态骨表面配准
Luohong Wu,Matthias Seibold,Nicola A Cavalcanti et al.
Luohong Wu et al.
Background: In computer- and robot-assisted orthopedic surgery (CAOS), patient-specific surgical plans are generated from preoperative medical imaging data to define target locations and implant trajectories. During surge...
Spatio-temporal reconstruction of early brain developmental trajectories via self-supervised learning [0.03%]
基于自监督学习的早期大脑发育轨迹的时空重建
Chenglin Ning,Tianshu Zheng,Yiwei Chen et al.
Chenglin Ning et al.
Charting the normative and atypical trajectories of the brain's rapid early-life reorganization is crucial for understanding neurodevelopment. Although magnetic resonance imaging (MRI) enables high-resolution visualization of the structural...
MoHD: Multi-mOdal survival prediction through Hierarchical Decoupling of whole-slide image pyramids and genomics [0.03%]
基于全片图像金字塔和基因组学的多层次分解的多模态生存预测模型
Lifan Long,Yilun Li,Daoqiang Zhang et al.
Lifan Long et al.
Integrative analysis of complementary phenotype information from multi-modality data, such as pathological images and genomic profiles, has shown significant value in cancer survival prediction. However, multimodal survival prediction confr...