Multiple abdominal organ segmentation: an atlas-based fuzzy connectedness approach [0.03%]
基于图谱的模糊连接性腹部器官分割方法
Yongxin Zhou,Jing Bai
Yongxin Zhou
Organ segmentation is an important step in various medical image applications. In this paper, a presegmented atlas is incorporated into the fuzzy connectedness (FC) framework for automatic segmentation of abdominal organs. First, the atlas ...
Bagging linear sparse Bayesian learning models for variable selection in cancer diagnosis [0.03%]
癌症诊断中选择变量的线性稀疏贝叶斯学习模型的结合算法
Chuan Lu,Andy Devos,Johan A K Suykens et al.
Chuan Lu et al.
This paper investigates variable selection (VS) and classification for biomedical datasets with a small sample size and a very high input dimension. The sequential sparse Bayesian learning methods with linear bases are used as the basic VS ...
A novel method of language modeling for automatic captioning in TC video teleconferencing [0.03%]
TC视频会议中自动字幕的新型语言模型方法研究
Xiaojia Zhang,Yunxin Zhao,Laura Schopp
Xiaojia Zhang
We are developing an automatic captioning system for teleconsultation video teleconferencing (TC-VTC) in telemedicine, based on large vocabulary conversational speech recognition. In TC-VTC, doctors' speech contains a large number of infreq...
Knowledge-driven multidimensional indexing structure for biomedical media database retrieval [0.03%]
用于生物医学媒体数据库检索的知识驱动的多维索引结构
Grant Scott,Chi-Ren Shyu
Grant Scott
Today, biomedical media data are being generated at rates unimaginable only years ago. Content-based retrieval of biomedical media from large databases is becoming increasingly important to clinical, research, and educational communities. I...
Confident interpretation of Bayesian decision tree ensembles for clinical applications [0.03%]
临床应用的贝叶斯决策树系综的释义方法研究
Vitaly Schetinin,Jonathan E Fieldsend,Derek Partridge et al.
Vitaly Schetinin et al.
Bayesian averaging (BA) over ensembles of decision models allows evaluation of the uncertainty of decisions that is of crucial importance for safety-critical applications such as medical diagnostics. The interpretability of the ensemble can...
Optimal coding of vectorcardiographic sequences using spatial prediction [0.03%]
基于空间预测的心电向量图序列最优编码方法研究
Piotr Augustyniak
Piotr Augustyniak
This paper discusses principles, implementation details, and advantages of sequence coding algorithm applied to the compression of vectocardiograms (VCG). The main novelty of the proposed method is the automatic management of distortion dis...
A wavelet approach for the identification of axonal synaptic varicosities from microscope images [0.03%]
基于显微图像的轴突突触囊泡的波形检测方法研究
Yu-Ping Wang,Husain Ragib,Chi-Ming Huang
Yu-Ping Wang
Direct visualization of synapses is a prerequisite to the analysis of the spatial distribution patterns of synaptic systems. Such an analysis is essential to the understanding of synaptic circuitry. In order to facilitate the visualization ...
Approximate entropy-based epileptic EEG detection using artificial neural networks [0.03%]
基于人工神经网络的近似熵癫痫EEG检测方法
Vairavan Srinivasan,Chikkannan Eswaran,Natarajan Sriraam
Vairavan Srinivasan
The electroencephalogram (EEG) signal plays an important role in the diagnosis of epilepsy. The EEG recordings of the ambulatory recording systems generate very lengthy data and the detection of the epileptic activity requires a time-consum...
A new system for computer-aided preoperative planning and intraoperative navigation during corrective jaw surgery [0.03%]
正颌手术术前规划和术中导航的计算机辅助新系统
Jonas Chapuis,Alexander Schramm,Ion Pappas et al.
Jonas Chapuis et al.
A new system for computer-aided corrective surgery of the jaws has been developed and introduced clinically. It combines three-dimensional (3-D) surgical planning with conventional dental occlusion planning. The developed software allows si...
Mining three-dimensional anthropometric body surface scanning data for hypertension detection [0.03%]
基于三维体型扫描数据的高血压检测研究
Chaochang Chiu,Kuang-Hung Hsu,Pei-Lun Hsu et al.
Chaochang Chiu et al.
Hypertension is a major disease, being one of the top ten causes of death in Taiwan. The exploration of three-dimensional (3-D) anthropometry scanning data along with other existing subject medical profiles using data mining techniques beco...