Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems最新文献_第10页

Reducing the complexity of k-nearest diverse neighbor queries in medical image datasets through fractal analysis 利用分形分析降低医学图像数据集中k近邻查询的复杂度

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627772

Rafael L. Dias, Renato Bueno, M. X. Ribeiro

{"title":"Reducing the complexity of k-nearest diverse neighbor queries in medical image datasets through fractal analysis","authors":"Rafael L. Dias, Renato Bueno, M. X. Ribeiro","doi":"10.1109/CBMS.2013.6627772","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627772","url":null,"abstract":"Content-Based Image Retrieval (CBIR) Systems allow the search of images by similarity employing a numeric representation automatically or semi-automatically obtained from them to perform the search. Nevertheless, the query result does not always bring what the user expected. In this sense, CBIR systems face the semantic gap problem. One way of overcoming this problem is by the addition of diversity in query execution, so that the user can ask the system to return the most varied images regarding some similarity criteria. However, applying diversity on large datasets has a prohibitive computational cost and, moreover, the result often differs from the expected with a resulting subset that has images with high dissimilarity to the query image. In this paper we propose an approach to reduce the computational cost of Content-Based Image Retrieval systems regarding similarity and diversity criteria. The proposed approach employs dataset fractals analysis to estimate a suitable radius for a database subset to perform a similarity query regarding diversity. It selects closer images to the query center and applies the diversity factor to the subset, providing not only a better comprehension of the impact of the diversity factor to the query result, but also an improvement in execution time.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"1 1","pages":"101-106"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85950303","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: 7

ECG delineation and morphological analysis for firefighters tasks differentiation 消防员任务区分的心电图描绘与形态学分析

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627856

Susana Brás, J. Fernandes, J. Cunha

引用次数: 4

Taking the next step in computer-based full-body patient simulation: The Müse® advantage 在基于计算机的全身患者模拟中迈出下一步:m<s:1> se®优势

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627830

D. Katz, Hugo Azevedo

引用次数: 0

A multi-functional mobile information system for hospital assistance 一种多功能的医院辅助移动信息系统

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627817

Dario Cavada, Manfred Mitterer, F. Ricci, O. Moling, F. Zini

引用次数: 1

Physician's awareness of e-prescribing security risks 医生对电子处方安全风险的认识

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627848

H. Rodrigues, L. Antunes, C. Costa-Santos, M. Correia, Tiago Miguel Pinho, H. G. Magalhaes

引用次数: 0

A curvelet-based lacunarity approach for ulcer detection from Wireless Capsule Endoscopy images 无线胶囊内窥镜图像中基于曲线的间隙检测方法

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627801

Alexis Eid, V. Charisis, L. Hadjileontiadis, G. Sergiadis

引用次数: 36

Evaluation of SIRIUS retinal vessel width measurement in REVIEW dataset REVIEW数据集中SIRIUS视网膜血管宽度测量的评价

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627767

S. G. Vázquez, N. Barreira, M. G. Penedo, M. Pena-Seijo, F. Gómez-Ulla

引用次数: 12

Optic disk localization using fast radial symmetry transform 基于快速径向对称变换的视盘定位

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627765

A. Budai, A. Aichert, Bronislav Vymazal, J. Hornegger, G. Michelson

引用次数: 8

Agent based simulation for training and assessing students in the field of anesthesiology 基于Agent的麻醉学学生训练与评估模拟

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627811

J. Epstein, M. Levin, Mark S. Jowell

引用次数: 1

Interpretation of laboratory examination results and their simple representation 实验室检查结果的解释及其简单表示

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627788

T. Okumura, Yuka Tateisi

{"title":"Interpretation of laboratory examination results and their simple representation","authors":"T. Okumura, Yuka Tateisi","doi":"10.1109/CBMS.2013.6627788","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627788","url":null,"abstract":"Knowledge about the causal relationship between diseases and their laboratory findings is a key component for clinical decision support systems. For efficient acquisition of such knowledge, this paper attempted to represent the interpretation of laboratory results in a guidebook for laboratory examinations. A preliminary survey revealed the structure of the knowledge compiled in the guidebook, and found essential patterns in the cause-effect relationship. We then attempted to code the knowledge, utilizing a simple cause-effect relationship between exam results and their possible causes, expressed in a disease master table. For coding of the knowledge, a two-step approach was used: first the causing disease was looked up automatically in the disease master table, and then, manually. In the study, 84.5% of the knowledge in the guidebook was identified as a candidate for the coding in the simple cause-effect relationship, and 69.1% of the knowledge was successfully coded. Failure analysis suggested that further expressive power in the representation is gained only at the cost of considerable human intervention in the knowledge acquisition, and the cost for the utilization of the resulting data. Accordingly, for a certain type of application, which might prefer simplicity over accuracy or completeness of the information, the minimalist representation could be a reasonable choice.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":"45 1","pages":"197-202"},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76978429","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