19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)最新文献_第10页

Development of a Computer-Aided Tool for Evaluation and Training in 3D Spatial Cognitive Function 三维空间认知功能评估与训练计算机辅助工具的开发

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.75

Ching-Fen Jiang, De-Kai Chen, Yuan-Si Li, Jheng-Long Kuo

引用次数: 7

Distance Functions Association for Content-Based Image Retrieval using Multiple Comparison Criteria 基于内容的多比较标准图像检索的距离函数关联

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.78

I. Pola, A. Traina, C. Traina

{"title":"Distance Functions Association for Content-Based Image Retrieval using Multiple Comparison Criteria","authors":"I. Pola, A. Traina, C. Traina","doi":"10.1109/CBMS.2006.78","DOIUrl":"https://doi.org/10.1109/CBMS.2006.78","url":null,"abstract":"The comparison operators available in traditional database management systems (DBMS) are not adequate to handle complex data such as images, rather comparing them using similarity operators is the option of choice. Similarity operators need a way to measure the similarity between pairs of objects. Although there are many interesting works dealing with similarity queries and functions to measure similarity, they all rely on a single similarity function that must be applicable over the whole dataset. However, images from medical exams often require several ways to measure similarity, depending on many factors, such as the particular pathological condition being searched, or the existence of specific clinical condition revealed in the images compared. Therefore, the ability to handle several ways to compare images by similarity is important in medical software handling images. This work develop a technique to allow several similarity functions to be combined when indexing a large set of images, allowing queries to probe the dataset regarding distinct comparison criteria. This technique also allows a flexible way to pose queries supporting fast retrieval of the answers","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128024276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Using DecisionTrees for Real-Time Ischemia Detection 利用决策树进行实时缺血检测

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.163

L. Dranca, A. Goñi, A. Illarramendi

{"title":"Using DecisionTrees for Real-Time Ischemia Detection","authors":"L. Dranca, A. Goñi, A. Illarramendi","doi":"10.1109/CBMS.2006.163","DOIUrl":"https://doi.org/10.1109/CBMS.2006.163","url":null,"abstract":"In this paper we investigate if techniques based on decision trees are also useful to classify ischemia. In order to do that, we have based on a previous own algorithm that is able of detecting ST-segment episodes, can be executed in real time and is lightweight enough to be implemented on mobile devices such as PDAs. Three main steps are performed by that algorithm: 1) signal preprocessing that extracts important features from the ECG signal 2) detection of suspect ST segment events and 3) rejection of irrelevant ST segment events. We have found that techniques based on decision trees are interesting for the last step in order to obtain a set of rules that reject some of the suspect ST segment events detected in the second step. The freely available part of the LTST database has been used to develop the detector and the rest of the same database has been used for validation purposes. The sensitivity of the detector over all the records of the LTST database is 89.89% for episodes annotated according to C protocol and the positive predictivity is 70.03% for episodes annotated according to A protocol. Those results improve our previously obtained ones and we think that they are comparable to other results that appear in the literature. However, it has to be noticed that we have not found works that detect ischemia in real time and show validation results over the LTST database","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114982174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

A Scalable Multi-tier Architecture for the National Taiwan University Hospital Information System based on HL7 Standard 基于HL7标准的台大医院信息系统可扩展多层体系结构

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.27

Tzu-Hsiang Yang, Po-Hsun Cheng, C. H. Yang, F. Lai, C. L. Chen, Hsiu-Hui Lee, K. Hsu, Chi-Huang Chen, Ching-Ting Tan, Yeali S. Sun

引用次数: 36

Synergy of Symmetric Region Grow and Active Contour in Reconstruction of a 3D Rat 对称区域生长和活动轮廓在三维大鼠重建中的协同作用

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.153

Shu-Yen Wan, Chian-Hung Hou

{"title":"Synergy of Symmetric Region Grow and Active Contour in Reconstruction of a 3D Rat","authors":"Shu-Yen Wan, Chian-Hung Hou","doi":"10.1109/CBMS.2006.153","DOIUrl":"https://doi.org/10.1109/CBMS.2006.153","url":null,"abstract":"The general goal of this work is modeling and reconstruction of a three-dimensional (3D) rat from a series of two-dimensional (2D) images captured from an inexpensive digital camera. We proposed a hybrid segmentation method that incorporates symmetric region grow (symRG) and active contour modeling (ACM) to robustly extract regions of interest (ROIs), such as organs, spines, and vessels. symRG is employed to enhance the segmentation performance while the edge information passed from the ACM can help prevent over-segmentation. We built a component-based software platform that includes the symRG and ACM components as well as the other image enhancement, post-segmentation processing, surface rendering components allowing the user to dynamically compose a streamlined 3D rat reconstruction procedure or script. The example dataset in this paper include 284 slices of 2D rat whole-body images. Separate scripts were used to model and visualize the body, heart, lung, stomach, and head. Few user-imposed parameters were required and the whole processing , from loading series of 2D images towards 3D rendition to demonstrate the results, is within two minutes","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124246490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discrimination of Liver Diseases from CT Images Based on Gabor Filters 基于Gabor滤波器的肝脏疾病CT图像识别

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.77

Chien-Cheng Lee, Sz-Han Chen, H. Tsai, P. Chung, Yu-Chun Chiang

引用次数: 21

A Modified Generalized RBF Model with EM-based Learning Algorithm for Medical Applications 基于em学习算法的改进广义RBF模型在医学中的应用

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.17

Li Ma, Abdul Wahab, Hiok-Chai Quek

引用次数: 1

Biomedical Ontology MeSH Improves Document Clustering Qualify on MEDLINE Articles: A Comparison Study 生物医学本体网格提高MEDLINE文章的文档聚类质量的比较研究

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.62

Illhoi Yoo, Xiaohua Hu

引用次数: 23

A Monte Carlo-Based Fiber Tracking Algorithm using Diffusion Tensor MRI 一种基于蒙特卡罗的扩散张量MRI光纤跟踪算法

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.20

F. Prados, A. Bardera, M. Sbert, I. Boada, M. Feixas

引用次数: 2

Design of a Compact System Using a MEMS Accelerometer to Measure Body Posture and Ambulation 基于MEMS加速度计的人体姿态和移动测量系统设计

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06) Pub Date : 2006-06-22 DOI: 10.1109/CBMS.2006.73

K. Bliley, D. J. Schwab, D. Holmes, P. H. Kane, J. Levine, E. Daniel, B. Gilbert

引用次数: 15