Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems最新文献_第3页

A framework for validation of vessel segmentation algorithms 一种血管分割算法验证框架

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627857

K. Drechsler, S. Meixner, C. O. Laura, S. Wesarg

引用次数: 4

Quality evaluation of websites with information on oral cancer in Portuguese language 葡萄牙语口腔癌信息网站的质量评价

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627858

Gonçalo Monteiro, A. Correia, Joao Leite-Moreira

引用次数: 1

Turning datasets into patient-centered knowledge utilities 将数据集转化为以患者为中心的知识工具

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627876

R. Bahati, F. Gwadry-Sridhar

引用次数: 0

Anisotropy correction of medical image data employing patch similarity 基于斑块相似度的医学图像数据各向异性校正

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627822

Mohammad H. Keyhani, Wissam El Hakimi, S. Wesarg

引用次数: 2

Linking the scientific and clinical data with KI2NA-LHC — An outline 链接科学和临床数据与KI2NA-LHC -大纲

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627867

V. Nováček, A. Naseer

引用次数: 1

Does a CBIR system really impact decisions of physicians in a clinical environment? 在临床环境中，CBIR系统真的会影响医生的决策吗?

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627762

Marcelo Ponciano-Silva, Juliana P. Souza, P. Bugatti, M. Bedo, D. S. Kaster, R. Braga, A. Bellucci, P. M. A. Marques, C. Traina, A. Traina

{"title":"Does a CBIR system really impact decisions of physicians in a clinical environment?","authors":"Marcelo Ponciano-Silva, Juliana P. Souza, P. Bugatti, M. Bedo, D. S. Kaster, R. Braga, A. Bellucci, P. M. A. Marques, C. Traina, A. Traina","doi":"10.1109/CBMS.2013.6627762","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627762","url":null,"abstract":"Content-based image retrieval systems are employed in several areas. One of the most prominent area is the medical field, due to the huge volume of digital images daily generated in healthcare institutions employed for decision making. There are several works applying CBIR techniques over medical images. However, the great majority of them do not verify whether the systems are actually considered by the specialists as a pontential aid in a real environment. In order to fill this research void in the literature, this work explores user experiments in a CBIR system involving resident physicians and radiologists. To do so, we developed a CBIR system according to requirements provided by the specialists and employed a methodology to analyze the effectiveness of the system for supporting them in clinical routine. The methodology aims at evaluating the system's impact in the user's decision, inquiring the specialists about the image classification and their degree of certainty in different situations using the system. By analyzing the obtained results we can argue that the proposed methodology joined with our medical CBIR system presented a high acceptance and viability rate regarding the radiologists interests in the clinical practice domain, providing a novel approach to analyze CBIR systems under realistic conditions.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82732860","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: 17

Automatic cyst detection in OCT retinal images combining region flooding and texture analysis 结合区域泛洪和纹理分析的OCT视网膜图像囊肿自动检测

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627825

Ana González, Beatriz Remeseiro, M. Ortega, M. G. Penedo, Pablo Charlón

引用次数: 37

Fully-automatic tool for morphometric analysis of myelinated fibers 全自动工具的形态计量分析髓鞘纤维

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627782

Romulo Bourget Novas, V. Fazan, J. C. Felipe

{"title":"Fully-automatic tool for morphometric analysis of myelinated fibers","authors":"Romulo Bourget Novas, V. Fazan, J. C. Felipe","doi":"10.1109/CBMS.2013.6627782","DOIUrl":"https://doi.org/10.1109/CBMS.2013.6627782","url":null,"abstract":"The morphometric analysis of myelinated fibers is known to produce relevant information for the evaluation of several phenomena, which range from nerve demyelization/remyelization to the aging process. This analysis can be achieved manually or using computer-based image analysis systems which vary to a certain degree of automation. However, systems which are manual or semi-automated are extremely laborious, highly tedious and time-consuming. Therefore, the aim of this paper is the proposal, implementation and evaluation of a computational tool capable of automatically performing the morphometry of myelinated fibers. We have implemented and tested various methods for the segmentation of images from different types of nerve, which present differences in form, color and size. Then, we implemented an algorithm capable of extracting the required morphometric features. The developed tool has shown maximum area overlap accuracy of 83.1% and sensitivity of 90.7% for our database. The tool has widespread potential in experimental and clinical applications eliminating many of the tedious and time-consuming tasks associated with nerve morphometry.","PeriodicalId":20519,"journal":{"name":"Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82001954","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: 3

Challenges in predicting community periodontal index from hospital dental care records 从医院牙科护理记录预测社区牙周指数的挑战

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627773

D. Vieira, J. Linden, J. Hollmén, J. Suni

引用次数: 0

A medical content based image retrieval system with eye tracking relevance feedback 基于医学内容的眼动追踪相关反馈图像检索系统

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems Pub Date : 2013-06-20 DOI: 10.1109/CBMS.2013.6627805

F. Maiorana

引用次数: 2