A segmentation of brain MRI images utilizing intensity and contextual information by Markov random field [0.03%]
基于马尔可夫随机场的脑MRI图像分割的新方法
Mingsheng Chen,Qingguang Yan,Mingxin Qin
Mingsheng Chen
Background and objective: Image segmentation is a preliminary and fundamental step in computer aided magnetic resonance imaging (MRI) images analysis. But the performance of most current image segmentation methods is easi...
Improving hemodynamics of cardiovascular system under a novel intraventricular assist device support via modeling and simulations [0.03%]
通过建模与仿真改善新一代心室内辅助装置支持下的心血管循环动力学性能
Shidong Zhu,Lin Luo,Bibo Yang et al.
Shidong Zhu et al.
Ventricular assist devices (LVADs) are increasingly recognized for supporting blood circulation in heart failure patients who are non-transplant eligible. Because of its volume, the traditional pulsatile device is not easy to implant intrac...
High-quality mesh generation for human hip based on ideal element size: methods and evaluation [0.03%]
基于理想单元尺寸的人体髋关节高质量网格生成方法及评价
Monan Wang,Jian Gao,Xinyu Wang
Monan Wang
The objective of this work was to obtain high-quality mesh generation results for the human hip. This study adopted an edge-collapse algorithm based on quadric error metrics to simplify the hip model. The adjacent triangular areas and a cos...
Accuracy analysis of line-based registration for image guided neurosurgery at different operating areas - a phantom study [0.03%]
基于线的图像引导神经外科注册精度评价——实验分析
Dafeng Ji,Yuan Dong,Manning Wang et al.
Dafeng Ji et al.
Space registration is the primary function of neuronavigation systems. According to the stage of the operation, the registration could be classified as rigid and non-rigid methods. Scientists have proposed three types of rigid registration ...
Xiaoqing Zhang
Xiaoqing Zhang
Malignant melanoma is one of the most deadly forms of skin cancer, which is one of the world's fastest-growing cancers. Early diagnosis and treatment is critical. In this study, a neural network structure is utilized to construct a broad an...
Imitation-tumor targeting based on continuous-wave near-infrared tomography [0.03%]
基于连续波近红外成像的仿组织光学靶向研究
Dan Liu,Xin Liu,Yan Zhang et al.
Dan Liu et al.
Continuous-wave Near-Infrared (NIR) optical spectroscopy has shown great diagnostic capability in the early tumor detection with advantages of low-cost, portable, non-invasive, and non-radiative. In this paper, Modified Lambert-Beer Theory ...
Cervical cancer histology image identification method based on texture and lesion area features [0.03%]
基于纹理和病灶区域特征的宫颈癌组织学图像识别方法
Lisheng Wei,Quan Gan,Tao Ji
Lisheng Wei
The issue of an automated approach for detecting cervical cancer is proposed to improve the accuracy of recognition. Firstly, the cervical cancer histology source images are needed to use image preprocessing for reducing the impact brought ...
Development of novel adjustable focus head mount display for concurrent image-guided treatment applications [0.03%]
一种新型可调焦点头戴式显示器的研发用于同时进行图像引导治疗应用程序
Hojong Choi,Jaemyung Ryu,Changhan Yoon
Hojong Choi
Purpose: A conventional see-through head mount display contains many optical lenses, which can be problematic in image-guided treatment applications due to its size, weight, structure, and focus limitation. Therefore, we ...
Optimal distance of multi-plane sensor in three-dimensional electrical impedance tomography [0.03%]
三维电阻率断层扫描中多平面传感器的最佳距离
Zhenhua Hao,Shihong Yue,Benyuan Sun et al.
Zhenhua Hao et al.
Electrical impedance tomography (EIT) is a visual imaging technique for obtaining the conductivity and permittivity distributions in the domain of interest. As an advanced technique, EIT has the potential to be a valuable tool for continuou...
Design and application of tumor prediction model based on statistical method<sup/> [0.03%]
基于统计方法的肿瘤预测模型的设计与应用
Shuting Shen,Ziqiang Fan,Qi Guo
Shuting Shen
Two prediction models for tumor prediction based on logistic regression and BP neural network were proposed in this paper; a sensitivity analysis of risk factors was also conducted. The two protocols will be implemented in the R language an...