2014 IEEE 27th International Symposium on Computer-Based Medical Systems最新文献_第3页

Using Sub-dictionaries for Image Representation Based on the Bag-of-Visual-Words Approach 基于视觉词袋方法的子词典图像表示

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.60

G. V. Pedrosa, A. Traina, C. Traina

{"title":"Using Sub-dictionaries for Image Representation Based on the Bag-of-Visual-Words Approach","authors":"G. V. Pedrosa, A. Traina, C. Traina","doi":"10.1109/CBMS.2014.60","DOIUrl":"https://doi.org/10.1109/CBMS.2014.60","url":null,"abstract":"Bag-of-Visual-Words (BoVW) is a well known approach to represent images for visual recognition and retrieval tasks. This approach represents an image as a histogram of visual words and the dissimilarity between two images is measured by comparing those histograms. When performing comparisons involving a specific type of images, some visual words can be more informative and discriminative than others. To take advantage of this fact, assigning appropriate weights can improve the performance of image retrieval. In this paper, we developed a novel modeling approach based on sub dictionaries. We extracted a sub-dictionary as a subset of visual words that best represents a specific image class. To measure the dissimilarity distance between images, we take into account the distance of the histogram obtained using the visual dictionary and the distances of the sub histograms obtained by each sub-dictionary. The proposed approach was evaluated by classifying a standard biomedical image dataset into categories defined by image modality and body part and also natural image scenes. The experimental results demonstrate the gain obtained of the proposed weighting approach when compared to the traditional weighting approach based on TF-IDF (Term Frequency-Inverse Document Frequency). Our proposed approach has shown promising results to boost the classification accuracy as well as the retrieval precision. Moreover, it does that without increasing the feature vector dimensionality.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"9 20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125846160","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: 4

Death in High-Fidelity Simulation: A Bioethical Analysis 高保真模拟中的死亡:生物伦理学分析

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.70

Andrew Goldberg, Jesse Hochkeppel, A. Levine, S. DeMaria

引用次数: 1

An Expertise-Driven Authoring Tool for E-Health Data Policies 电子健康数据策略的专业知识驱动的创作工具

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.86

Riccardo Conti, I. Matteucci, P. Mori, M. Petrocchi

引用次数: 4

Towards Using Probabilities and Logic to Model Regulatory Networks 利用概率和逻辑建模监管网络

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.9

António Gonçalves, I. Ong, Jeffrey A. Lewis, V. S. Costa

引用次数: 1

An Automated Approach for Fibrin Network Segmentation and Structure Identification in 3D Confocal Microscopy Images 三维共聚焦显微图像中纤维蛋白网络分割和结构识别的自动化方法

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.62

Jianxu Chen, O. Kim, R. Litvinov, J. Weisel, M. Alber, D. Chen

{"title":"An Automated Approach for Fibrin Network Segmentation and Structure Identification in 3D Confocal Microscopy Images","authors":"Jianxu Chen, O. Kim, R. Litvinov, J. Weisel, M. Alber, D. Chen","doi":"10.1109/CBMS.2014.62","DOIUrl":"https://doi.org/10.1109/CBMS.2014.62","url":null,"abstract":"Fibrin networks, formed during blood clotting, have a large and complicated structure and play a crucial role in regulating blood clot growth. Identifying and analyzing the 3D topological structure of fibrin networks using fluorescence confocal microscopy images is challenging due to their complex anatomy, and known automated methods do not seem to work well. In this paper, we present a two-stage approach for identifying the topological structure of fibrin networks in 3D confocal microscopy images. The first stage segments fibrin networks using a new Indicator-Guided Adaptive Thresholding (IGAT) algorithm. The second stage extracts, prunes, and analyzes the skeleton of fibrin networks in order to identify their topological structure. A new approach based on orientation analysis is applied to refine the extracted topological structure. Evaluation on 3D confocal microscopy images demonstrates that our approach is not sensitive to parameter selection and outperforms the known method, reducing the false positive rate for detecting branch points by 24% and reducing the false negative rate for detecting fiber segments by 15%.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130609136","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

Performance Evaluation of Medical Image Similarity Analysis in a Heterogeneous Architecture 异构架构下医学图像相似度分析的性能评价

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.65

J. Ferreira, M. C. Oliveira, Andre Lage Freitas

{"title":"Performance Evaluation of Medical Image Similarity Analysis in a Heterogeneous Architecture","authors":"J. Ferreira, M. C. Oliveira, Andre Lage Freitas","doi":"10.1109/CBMS.2014.65","DOIUrl":"https://doi.org/10.1109/CBMS.2014.65","url":null,"abstract":"The volume of data has increased fast, particularly medical images, in big hospitals over the last years. This increase imposes a big challenge to medical specialists: the maintenance of high interpretation accuracy of image-based diagnosis. Computer-Aided Diagnosis software allied to the Content-Based Image Retrieval (CBIR) can provide decision support to specialists by allowing them to find images from a database that are similar to a reference image. However, a well known challenge of CBIR is the processing time that it takes to process all comparisons between the reference image and the image database. This paper proposes a performance evaluation of medical Image Similarity Analysis (ISA) in a heterogeneous single-, multi- and many-core architecture using the high performance parallel OpenCL framework. A CBIR algorithm was implemented to validate the proposal. The algorithm used a Lung Cancer image database with 131, 072 Computed Tomography scans, Texture Attributes for image features and Euclidean Distance for image comparison metrics. The results showed that the OpenCL parallelism can increase the performance of ISA, especially using the GPU, with speedups of 3x, 36x and 64x. The results also showed that it is not worth the use of GPU local memory for the Euclidean Distance metrics due to its low performance improvement and high implementation complexity in comparison to the GPU global memory. That being said, GPU is a safer medical CBIR approach than further distributed environments as clusters, cloud and grid computing because GPU usage does not require the patient data to be transfered to other machines.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132868440","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: 12

Haptic System for Force-Profile Acquisition and Display for a Realistic Surgical Simulator 现实外科模拟器力轮廓采集与显示触觉系统

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.133

Ibrahim Dawha, Saihou Bi Gorreh, Andrew Olowude, C. Park

引用次数: 0

Second Opinion System for Intraoral Lesions 口腔内病变第二意见系统

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.107

O. Gambino, F. Lima, R. Pirrone, E. Ardizzone, G. Campisi, O. D. Fede

引用次数: 1

Estimating and Analysing Coordination in Medical Terminologies 估计和分析医学术语的协调性

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.81

Cornelia Hedeler, B. Parsia, S. Brandt

引用次数: 3

Nanopublishing Clinical Diagnoses: Tracking Diagnostic Knowledge Base Content and Utilization 纳米出版临床诊断:跟踪诊断知识库的内容和利用

2014 IEEE 27th International Symposium on Computer-Based Medical Systems Pub Date : 2014-05-27 DOI: 10.1109/CBMS.2014.82

A. R. González, M. M. Romero, Mikel Egaña Aranguren, Mark D. Wilkinson

{"title":"Nanopublishing Clinical Diagnoses: Tracking Diagnostic Knowledge Base Content and Utilization","authors":"A. R. González, M. M. Romero, Mikel Egaña Aranguren, Mark D. Wilkinson","doi":"10.1109/CBMS.2014.82","DOIUrl":"https://doi.org/10.1109/CBMS.2014.82","url":null,"abstract":"Accurate and evidence-based diagnosis is a key step in clinical practice. High-quality diagnoses depend on several factors, including physician's training and experience. To assist physicians, medical diagnosis systems can be used, as part of clinical decision support systems (CDSS), to improve the accuracy of diagnoses, as well as inform the clinician regarding the bases of the diagnostic decisions in the context of prior knowledge. To support such CDSS systems, it is important to have accurate and well-formed knowledge bases with thoroughly annotated diagnostic criteria, as well as models for representing clinical observations that allow them to more easily be analyzed by expert-systems. We propose the use of Nan publications as a way to store provenance data related to the content of diagnostic knowledge bases, as well as the clinical diagnoses themselves. The primary goal is to be able to rigorously track the complete diagnostic process: from the knowledge base construction and its supporting evidence, to the clinical observations and the context within which they were made, through to the diagnosis itself, and the rationale behind it.","PeriodicalId":398710,"journal":{"name":"2014 IEEE 27th International Symposium on Computer-Based Medical Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114295027","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: 4