Proceedings of Computer Based Medical Systems最新文献_第2页

Knowledge-based mechanical imaging 基于知识的机械成像

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596420

A. Sarvazyan

引用次数: 10

An application of machine learning in the diagnosis of ischaemic heart disease 机器学习在缺血性心脏病诊断中的应用

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596411

M. Kukar, Ciril Groselj, I. Kononenko, J. Fettich

{"title":"An application of machine learning in the diagnosis of ischaemic heart disease","authors":"M. Kukar, Ciril Groselj, I. Kononenko, J. Fettich","doi":"10.1109/CBMS.1997.596411","DOIUrl":"https://doi.org/10.1109/CBMS.1997.596411","url":null,"abstract":"Ischaemic heart disease is one of the world's most important causes of mortality, so improvements and rationalization of diagnostic procedures would be very useful. The four diagnostic levels consist of evaluation of signs and symptoms of the disease and ECG (electrocardiogram) at rest, sequential ECG testing during the controlled exercise, myocardial scintigraphy and finally coronary angiography. The diagnostic process is stepwise and the results are interpreted hierarchically, i.e, the next step is necessary only if the results of the former are inconclusive. Because suggestibility is possible, the results of each step are interpreted individually and only the results of the highest step are valid. On the other hand, machine learning methods may be capable of objective interpretation of all available results for the same patient and in this way increase the diagnostic accuracy, sensitivity and specificity of each step. In the usual setting, the machine learning algorithms are tuned to maximize classification accuracy. In our case, the sensitivity and specificity were much more important, so we generalized the algorithms to take in account the variable misclassification costs. The costs can be tuned in order to bias the algorithms towards higher sensitivity or specificity. We conducted many experiments with four learning algorithms and different variations of our dataset (327 patients with completed diagnostic procedures). Our results show that improvements using machine learning techniques are reasonable and might find good use in practice.","PeriodicalId":292377,"journal":{"name":"Proceedings of Computer Based Medical Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115920377","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: 25

Ultrasonic measurement of postural stability and control 超声波测量的姿势稳定性和控制

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596427

S. Badjou, G. Powers, M. Tanas

{"title":"Ultrasonic measurement of postural stability and control","authors":"S. Badjou, G. Powers, M. Tanas","doi":"10.1109/CBMS.1997.596427","DOIUrl":"https://doi.org/10.1109/CBMS.1997.596427","url":null,"abstract":"The study of postural sway is of special interest because of its applications in clinical medicine. Currently, the most accurate device used to study postural sway is the force platform. It is however costly and nonportable. The authors introduce an alternative system that consists of a computer-interfaced ultrasonic device. Ultrasound is emitted by sonar and bounces back from the subject's body. The amplitude of motion of the center of gravity is calculated and displayed graphically in real time. They, and several researchers, have determined that the mean speed of sway is a parameter that could be used to quantify postural sway. They developed software to filter system noise and calculate the mean speed of sway accurately. They tested the sensitivity and reliability by performing measurements of a fixed distance, and of the anterior-posterior and medical-lateral sways of thirty young healthy subjects, 15 males and 15 females. The error on the mean speed of sway was found to be less than 1%. This is no less accurate than the best sway instruments they know of. The results are consistent with force-platform measurements, and demonstrate the reliability of the system, as a means to study accurately postural control.","PeriodicalId":292377,"journal":{"name":"Proceedings of Computer Based Medical Systems","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115394951","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: 2

Automated recognition of cardiac structures in echocontrast perfusion studies 超声造影灌注研究中心脏结构的自动识别

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596410

P. Merialdo, F. Bilotta, L. Fiorani, G. Gigante

引用次数: 1

The project "Patient en Dossier" “病人档案”项目

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596408

A. Mehuys

引用次数: 0

The design and implementation of an automatic computer-controlled infusion pump 计算机自动控制输液泵的设计与实现

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596438

D. Pager

引用次数: 1

Computer aided ultrasound laboratory 计算机辅助超声实验室

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596403

V. Cerný, R. Zajac

{"title":"Computer aided ultrasound laboratory","authors":"V. Cerný, R. Zajac","doi":"10.1109/CBMS.1997.596403","DOIUrl":"https://doi.org/10.1109/CBMS.1997.596403","url":null,"abstract":"A computer support system works in our sonography laboratory providing essential services like the data-base for medical findings combined with the image data-base. The system is based on the digitization of the video-signal output of the sonograph. We have studied the possibility of easing various picture processing methods to further support the diagnosis-making process. We report here on our experience with three particular methods. So far the most successful method we have developed was the quasi-tomographical processing of images. We take up to 16 scans of the same section plane from different positions of the ultrasonic probe. The final image is obtained as a suitable average of the matched images. The method proved to be very helpful in the diagnostic process and is used on an everyday basis. On a somewhat more academic level we are studying the use of simple neural net classifiers to evaluate textural content in the images. The nets are trained on sets of texture patterns and then used to classify the testing samples. We present here two particular examples: classifying malignant tissue in testes and segmentation (sinus vs parenchyma) in kidney. Our experience with these methods is still limited. However, our conjecture is that the texture information can be used as a supportive tool in clinical praxis.","PeriodicalId":292377,"journal":{"name":"Proceedings of Computer Based Medical Systems","volume":"262 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113997837","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

Integrating clinical and managerial activities of health care units 整合医疗保健单位的临床和管理活动

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596443

D. Luzi, F. Ricci, L. Serbanati

引用次数: 1

A distributed database on the Internet of 3D models of human pathological organs 人类病理器官的三维模型在互联网上的分布式数据库

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596444

M. Crudele, G. Clapworthy, M. Krokos, G. Salcito, Nickos Vasilonikolidakis

引用次数: 5

Radial basis function-based image segmentation using a receptive field 基于径向基函数的接受野图像分割

Proceedings of Computer Based Medical Systems Pub Date : 1997-03-11 DOI: 10.1109/CBMS.1997.596421

D. Kovacevic, S. Lončarić

{"title":"Radial basis function-based image segmentation using a receptive field","authors":"D. Kovacevic, S. Lončarić","doi":"10.1109/CBMS.1997.596421","DOIUrl":"https://doi.org/10.1109/CBMS.1997.596421","url":null,"abstract":"The paper presents a novel method for CT head image automatic segmentation. The images are obtained from patients having a spontaneous intra-cerebral brain hemorrhage (ICH). The results of the segmentation are images partitioned into five regions of interest corresponding to four tissue classes (skull, brain, calcifications and ICH) and background. Once the images are segmented it is possible to calculate various hemorrhage region parameters such as size, position, etc. The segmentation is performed in three major steps. In the first phase feature extraction and normalization is performed using a receptive field (RF). Experiments were performed to determine the optimal RF structure. Pixels are classified in the second phase using the radial basis function (RBF) artificial neural network. Experiments with different RBF network topologies were performed in order to determine the optimal basis functions, network size and a training algorithm. The segmentation results obtained using the RBF network were compared with results obtained by multi-layer perceptron neural network (MLP). In the third phase the image regions obtained by the RBF network were labeled using an expert system. Experiments have shown that the proposed method successfully performs image segmentation.","PeriodicalId":292377,"journal":{"name":"Proceedings of Computer Based Medical Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124963015","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: 19