[Cross-modal hash retrieval of medical images based on Transformer semantic alignment] [0.03%]
基于Transformer语义对齐的医学图像跨模态哈希检索
Qianlin Wu,Lun Tang,Qinghai Liu et al.
Qianlin Wu et al.
Medical cross-modal retrieval aims to achieve semantic similarity search between different modalities of medical cases, such as quickly locating relevant ultrasound images through ultrasound reports, or using ultrasound images to retrieve m...
[A joint distillation model for the tumor segmentation using breast ultrasound images] [0.03%]
一种基于乳腺超声图像的肿瘤分割联合蒸馏模型
Hongjiang Guo,Youyou Ding,Hao Dang et al.
Hongjiang Guo et al.
The accurate segmentation of breast ultrasound images is an important precondition for the lesion determination. The existing segmentation approaches embrace massive parameters, sluggish inference speed, and huge memory consumption. To tack...
[Pancreas segmentation with multi-channel convolution and combined deep supervision] [0.03%]
[使用多通道卷积和组合深度监督的胰腺分割技术]
Yue Yang,Yongxiong Wang,Chendong Qin
Yue Yang
Due to its irregular shape and varying contour, pancreas segmentation is a recognized challenge in medical image segmentation. Convolutional neural network (CNN) and Transformer-based networks perform well but have limitations: CNN have con...
[Classification of Alzheimer's disease based on multi-example learning and multi-scale feature fusion] [0.03%]
基于多示例学习和多尺度特征融合的阿尔茨海默病分类方法
An Zeng,Zhifu Shuai,Dan Pan et al.
An Zeng et al.
Alzheimer's disease (AD) classification models usually segment the entire brain image into voxel blocks and assign them labels consistent with the entire image, but not every voxel block is closely related to the disease. To this end, an AD...
[Study on lightweight plasma recognition algorithm based on depth image perception] [0.03%]
基于深度图感知的轻量级等离子体识别算法研究
Hanwen Zhang,Yu Sun,Hao Jiang et al.
Hanwen Zhang et al.
In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as symptoms such as heart failure, severe anemia, etc. Applying a deep learning method to plasma images significantly improves recognition accuracy, ...
[Methods for enhancing image quality of soft tissue regions in synthetic CT based on cone-beam CT] [0.03%]
基于锥束CT的合成CT中改善软组织区域图像质量的方法
Ziwei Fu,Yechen Zhu,Zijian Zhang et al.
Ziwei Fu et al.
Synthetic CT (sCT) generated from CBCT has proven effective in artifact reduction and CT number correction, facilitating precise radiation dose calculation. However, the quality of different regions in sCT images is severely imbalanced, wit...
[Biomechanical effects of medial and lateral translation deviations of femoral components in unicompartmental knee arthroplasty on tibial prosthesis fixation] [0.03%]
膝关节单间室置换术中股骨组件内外侧移位对胫骨假体固定 biomechanical effect 的研究
Jingting Xu,Jing Zhang,Bing Zhang et al.
Jingting Xu et al.
Prosthesis loosening is the leading cause of postoperative revision in unicompartmental knee arthroplasty (UKA). The deviation of medial and lateral translational installation of the prosthesis during surgery is a common clinical phenomenon...
[Three-dimensional human-robot mechanics modeling for dual-arm nursing-care robot transfer based on individualized musculoskeletal multibody dynamics] [0.03%]
基于个性化肌骨多体动力学的双臂护理机器人转移三维人机力学建模研究
Zhiqiang Yang,Funing Hou,Qiang Lin et al.
Zhiqiang Yang et al.
During transfer tasks, the dual-arm nursing-care robot require a human-robot mechanics model to determine the balance region to support the patient safely and stably. Previous studies utilized human-robot two-dimensional static equilibrium ...
[Neural network for auditory speech enhancement featuring feedback-driven attention and lateral inhibition] [0.03%]
具有反馈驱动注意和侧抑制特征的听觉语音增强神经网络
Yudong Cai,Xue Liu,Xiang Liao et al.
Yudong Cai et al.
The processing mechanism of the human brain for speech information is a significant source of inspiration for the study of speech enhancement technology. Attention and lateral inhibition are key mechanisms in auditory information processing...
[Effect of repeated transcranial magnetic stimulation on excitability of glutaminergic neurons and gamma-aminobutyric neurons in mouse hippocampus] [0.03%]
重复经颅磁刺激对小鼠海马谷氨酸能神经元及γ-氨基丁酸能神经元兴奋性的影响
Jiale Wang,Chong Ding,Rui Fu et al.
Jiale Wang et al.
Repeated transcranial magnetic stimulation (rTMS) is one of the commonly used brain stimulation techniques. In order to investigate the effects of rTMS on the excitability of different types of neurons, this study is conducted to investigat...