[Numerical study of the effect of geometrical parameters of straight impellers on the flow and hemolysis performance of centrifugal blood pumps] [0.03%]
[几何参数对离心式血泵内流场及溶血性能影响的数值研究]
Dongmei Huang,Siheng Xiong,Yuan Xiao et al.
Dongmei Huang et al.
Red blood cells are destroyed when the shear stress in the blood pump exceeds a threshold, which in turn triggers hemolysis in the patient. The impeller design of centrifugal blood pumps significantly influences the hydraulic characteristic...
[Study on the mesoscopic dynamic effects of tumor treating fields on cell tubulin] [0.03%]
[肿瘤治疗电场对细胞微管蛋白介观动力学效应的实验与模拟研究]
Xing Li,Kaida Liu,Cong Guo et al.
Xing Li et al.
Tumor treatment fields (TTFields) can effectively inhibit the proliferation of tumor cells, but its mechanism remains exclusive. The destruction of cellular microtubule structure caused by TTFields through electric field force is considered...
[A medical visual question answering approach based on co-attention networks] [0.03%]
[基于Co-Attention网络的医学视觉问答方法]
Wencheng Cui,Wentao Shi,Hong Shao
Wencheng Cui
Recent studies have introduced attention models for medical visual question answering (MVQA). In medical research, not only is the modeling of "visual attention" crucial, but the modeling of "question attention" is equally significant. To f...
[An identification method of chromatin topological associated domains based on spatial density clustering] [0.03%]
一种基于空间密度聚类的染色质拓扑结构域识别方法
Haiyan Gong,Sichen Zhang,Xiaotong Zhang
Haiyan Gong
The rapid development of high-throughput chromatin conformation capture (Hi-C) technology provides rich genomic interaction data between chromosomal loci for chromatin structure analysis. However, existing methods for identifying topologica...
[Skin lesion classification with multi-level fusion of Swin-T and ConvNeXt] [0.03%]
基于Swin-T和ConvNeXt多级融合的皮肤病变分类方法
Zetong Wang,Junhua Zhang,Xiao Wang
Zetong Wang
Skin cancer is a significant public health issue, and computer-aided diagnosis technology can effectively alleviate this burden. Accurate identification of skin lesion types is crucial when employing computer-aided diagnosis. This study pro...
[Ischemic stroke infarct segmentation model based on depthwise separable convolution for multimodal magnetic resonance imaging] [0.03%]
基于深度可分离卷积的多模态磁共振缺血性卒中梗死分割模型
Yidong Jin,Mengfei Wang,Jingjing Chen et al.
Yidong Jin et al.
Magnetic resonance imaging (MRI) plays a crucial role in the diagnosis of ischemic stroke. Accurate segmentation of the infarct is of great significance for selecting intervention treatment methods and evaluating the prognosis of patients. ...
[Pulmonary PET /CT image instance segmentation based on dense interactive feature fusion Mask RCNN] [0.03%]
基于密集交互特征融合的Mask RCNN肺部PET/CT图像实例分割方法研究
Tao Zhou,Yanan Zhao,Huiling Lu et al.
Tao Zhou et al.
There are some problems in positron emission tomography/ computed tomography (PET/CT) lung images, such as little information of feature pixels in lesion regions, complex and diverse shapes, and blurred boundaries between lesions and surrou...
[Research on intelligent tooth segmentation method combining multiple seed region growth and boundary extension] [0.03%]
基于多粒种子区域生长和边界扩展的智能牙齿分割方法研究
Zhihua Liu,Jiutao Xue,Hao Tang et al.
Zhihua Liu et al.
The segmentation of dental models is a crucial step in computer-aided diagnosis and treatment systems for oral healthcare. To address the issues of poor universality and under-segmentation in tooth segmentation techniques, an intelligent to...
[Multi-scale medical image segmentation based on pixel encoding and spatial attention mechanism] [0.03%]
基于像素编码和空间注意力机制的多尺度医学图像分割
Yulong Wan,Dongming Zhou,Changcheng Wang et al.
Yulong Wan et al.
In response to the issues of single-scale information loss and large model parameter size during the sampling process in U-Net and its variants for medical image segmentation, this paper proposes a multi-scale medical image segmentation met...
[A design of interactive review for computer aided diagnosis of pulmonary nodules based on active learning] [0.03%]
基于主动学习的计算机辅助诊断肺结节交互式复习设计
Shuangping Tan,Jun Li,Xiaojuan Zhang et al.
Shuangping Tan et al.
Automatic detection of pulmonary nodule based on computer tomography (CT) images can significantly improve the diagnosis and treatment of lung cancer. However, there is a lack of effective interactive tools to record the marked results of r...