Compact programmable transmit scheme for contrast imaging using nonlinear difference-frequency ultrasound signals [0.03%]
一种用于非线性差频超声信号对比度成像的紧凑可编程发射方案
Dong Hun Kim,Dong-Hyun Kang,Jun Hong Park et al.
Dong Hun Kim et al.
The nonlinear interaction between two acoustic waves at different primary frequencies generates a signal with a frequency equal to the difference between these primary frequencies. This signal is proportional to the nonlinear elasticity of ...
ARDMR: Adaptive recursive inference and representation disentanglement for multimodal large deformation registration [0.03%]
自适应递归推理和多模态大变形配准表示分离方法
Yibo Hu,Qi Zhang,Ziqi Zhao et al.
Yibo Hu et al.
Deformable registration of multimodal medical images constitutes a fundamental task in many medical image analysis applications, particularly in the diagnosis and treatment of liver cancer where different modality images are frequently empl...
M3Surv: Fusing Multi-slide and Multi-omics for Memory-augmented robust Survival prediction [0.03%]
M3Surv：融合多张切片和多组学数据以增强记忆的生存预测方法
Mingcheng Qu,Guang Yang,Donglin Di et al.
Mingcheng Qu et al.
Multimodal survival prediction is crucial for personalized oncology. However, existing methods typically integrate only Formalin-Fixed Paraffin-Embedded (FFPE) slides with a single omics type, such as genomics, overlooking Fresh Frozen (FF)...
An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology [0.03%]
一种高效端到端计算框架，用于生成心房电生理心电图校准体积模型
Elena Zappon,Luca Azzolin,Matthias A F Gsell et al.
Elena Zappon et al.
Computational models of atrial electrophysiology (EP) are increasingly utilized for applications such as the development of advanced mapping systems, personalized clinical therapy planning, and the generation of virtual cohorts and digital ...
Unsupervised multimodal surface registration with geometric deep learning [0.03%]
基于几何深度学习的无监督多模态表面配准
Mohamed A Suliman,Logan Z J Williams,Abdulah Fawaz et al.
Mohamed A Suliman et al.
This paper introduces GeoMorph, a novel geometric deep-learning framework designed for image registration of cortical surfaces. The registration process consists of two main steps. First, independent feature extraction is performed on each ...
Category-specific unlabeled data risk minimization for ultrasound semi-supervised segmentation [0.03%]
基于未标注数据的类别特定风险最小化的半监督超声图像分割方法
Lu Xu,Mingyuan Liu,Boxuan Wei et al.
Lu Xu et al.
Achieving accurate computer-aided analysis of ultrasound images is challenging, since not only its image artifacts but also the difficulties in collecting large-scale pixel-wise annotations from experts for training. Semi-supervised segment...
Semi-supervised Fetal Brain Parcellation via Hierarchical Learning Framework [0.03%]
基于层次学习框架的半监督胎儿脑叶分割方法研究
Shijie Huang,Kai Zhang,Fangmei Zhu et al.
Shijie Huang et al.
Automatic parcellation of fetal brain regions using magnetic resonance (MR) images has become a valuable tool for studying prenatal brain growth and development. However, manual segmentation on large-scale fetal brain images is challenging,...
Anatomically and metabolically informed diffusion for unified denoising and segmentation in low-count PET imaging [0.03%]
基于解剖和代谢信息的弥散统一去噪及低计数正电子发射断层扫描成像分割技术
Menghua Xia,Kuan-Yin Ko,Der-Shiun Wang et al.
Menghua Xia et al.
Positron emission tomography (PET) image denoising, along with lesion and organ segmentation, are critical steps in PET-aided diagnosis. However, existing methods typically treat these tasks independently, overlooking inherent synergies bet...
Fusion and pure feature extraction framework for intraoperative hyperspectral of thyroid lesion [0.03%]
融合和纯特征提取的甲状腺术中高光谱病变检测框架
Shuang Xue,Zhoufeng Zhang,Siyuan Li et al.
Shuang Xue et al.
Thyroid cancer has remained one of the most prevalent endocrine malignancies. In routine surgery, thyroid cancer analysis involves two time-consuming steps: intraoperative frozen section preparation and manual microscopic examination. Recen...
A saliency detection-inspired method for optic disc and cup segmentation [0.03%]
一种基于显著性检测的视盘和视杯分割方法
Fan Guo,Wentao Liu,Jin Tang
Fan Guo
Glaucoma, as one of the leading causes of blindness worldwide, requires early diagnosis for effective patient treatment. Accurate segmentation of the optic cup and optic disc, along with the calculation of the cup-to-disc ratio (CDR), is ce...