IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)最新文献

Evaluation of secure multi-party computation for reuse of distributed electronic health data 分布式电子健康数据复用的安全多方计算评估

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864343

K. Y. Yigzaw, J. G. Bellika

引用次数: 5

Analysis and visualization of metabolic pathways and networks: A hypegraph approach 代谢途径和网络的分析和可视化:一种超图方法

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864316

Evaggelia Maniadi, I. Tollis

引用次数: 0

Parameter estimation of complex mathematical models of human physiology using remote simulation distributed in scientific cloud 分布在科学云中的远程模拟人体生理复杂数学模型的参数估计

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864463

T. Kulhánek, M. Matejak, J. Šilar, J. Kofránek

引用次数: 1

Automated nuclei clump splitting by combining local concavity orientation and graph partitioning 结合局部凹性取向和图划分的核团自动分裂

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864390

Siddharth Samsi, C. Trefois, P. Antony, A. Skupin

引用次数: 1

Mass detection based on pooled mass probability map of 3D reconstructed slices in digital breast tomosynthesis 数字乳腺断层合成中基于三维重建切片混合质量概率图的质量检测

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864303

Seong-Tae Kim, Dae Hoe Kim, E. Cha, Yong Man Ro

引用次数: 0

A study of heart rate variability as sleep apnoea predictor over two different databases 在两个不同的数据库中对心率变异性作为睡眠呼吸暂停预测因子的研究

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864377

Veronica Peiteado-Brea, D. Álvarez-Estévez, V. Moret-Bonillo

引用次数: 3

Coco-Cloud project: Confidential and compliant clouds Coco-Cloud项目:机密和兼容的云

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864345

Alejandro Mañas Garcia, R. Sanz-Requena, Á. Alberich-Bayarri, G. García-Martí, M. Egea, C. Martinez

{"title":"Coco-Cloud project: Confidential and compliant clouds","authors":"Alejandro Mañas Garcia, R. Sanz-Requena, Á. Alberich-Bayarri, G. García-Martí, M. Egea, C. Martinez","doi":"10.1109/BHI.2014.6864345","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864345","url":null,"abstract":"The Coco-Cloud (Confidential and Compliant Cloud) project is under the scope of the 7th Framework Programme of the European Commission and its main objective is to allow users to share data in the Cloud, guaranteeing its privacy and security in the case of sensitive information, ensuring that the current legislation in the involved countries is enforced. In this context, information regarding patients' health is one of the most important examples of sensitive data. During the diagnostic imaging routine and the subsequent processing, several documents with sensitive information related to the patient are generated. These data are only available either within our healthcare centers' intranet or in some storage device that the patient keeps. The Coco Cloud e-health pilot is driven by our private hospital network in which a Cloud-based radiological patient portal will be developed. Its aim is to allow patient access to their radiological information in a delocalized manner, providing medical images and personalized reports. This system will eliminate patient's need to return to his reference hospital to physically collect the results of imaging acquisitions and/or post-processing, facilitating access to relevant content for any medical specialist authorized by the patient, as well as share images and reports with other users and physicians of different specialties involved in the patient's healthcare. This goal is achieved through a cloud-based system which introduces important advantages such as the flexibility to allocate or remove resources, the data security and the document control mechanism, or the capability to work from anywhere, are just a few reasons which allow cloud-based systems increase the efficiency and decrease the costs of the daily work.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665097","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: 6

Quality assessment model of software for managing family medicine practice — Methodology and basic results 家庭医学实践管理软件的质量评价模型。方法和基本结果

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864371

D. Kralj, M. Koncar, S. Tonkovic

引用次数: 1

Learning scale-space representation of nucleus for accurate localization and segmentation of epithelial squamous nuclei in cervical smears 学习核的尺度空间表示，用于宫颈涂片上皮鳞状核的准确定位和分割

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864478

S. Karri, Hrushikesh Garud, D. Sheet, J. Chatterjee, Debjani Chakraborty, A. Ray, M. Mahadevappa

{"title":"Learning scale-space representation of nucleus for accurate localization and segmentation of epithelial squamous nuclei in cervical smears","authors":"S. Karri, Hrushikesh Garud, D. Sheet, J. Chatterjee, Debjani Chakraborty, A. Ray, M. Mahadevappa","doi":"10.1109/BHI.2014.6864478","DOIUrl":"https://doi.org/10.1109/BHI.2014.6864478","url":null,"abstract":"Computer vision systems are being introduced in pre-screening of cervical cytopathology slides to identify samples that require study by cytopathologists. These systems work on the principle of imaging and analysis of cytology features in general and nuclear features in particular. Thus accurate localization and segmentation of the nuclei is crucial for the systems. Though several methods have been conceptualized, developed and employed to achieve the tasks of localization and segmentation of nuclei in cytology images, most fail to localize nuclei with opened up chromatin. This paper presents a machine learning approach based framework for accurate localization and segmentation of nuclei. The approach uses the random forest model to learn complete scale-space representation of the nuclear chromatin distribution in green and color saturation channels. Based on the multi scale features of an unknown image this model can predict an image such that gray level value of a pixel is proportionate to the probability that the pixel belongs to nuclear region. This predicted image then can be used for accurate localization and segmentation of the nuclei by random walks approach. Accuracy of the system has been tested on a publicly available dataset images and was found to be approximately 97%.","PeriodicalId":177948,"journal":{"name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130011264","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

Neuro-fuzzy based glucose prediction model for patients with Type 1 diabetes mellitus 基于神经模糊的1型糖尿病患者血糖预测模型

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) Pub Date : 2014-06-01 DOI: 10.1109/BHI.2014.6864351

K. Zarkogianni, K. Mitsis, M. Arredondo, G. Fico, A. Fioravanti, K. Nikita

引用次数: 16