{"title":"Shearlet-Based Ultrasound Texture Features for Classification of Breast Tumor","authors":"Li-jin Huang, Jun Shi, Ruiling Wang, Shicong Zhou","doi":"10.1109/ICICSE.2013.30","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.30","url":null,"abstract":"Texture features are commonly used in the breast ultrasound computer-aided diagnosis (CAD). Shear let transform provides the spare representation of high dimensional data, and can be used to describe image texture. In this study, shear let-based texture features were extracted as the characterization of breast tumor in ultrasound images. Texture features were also extracted from wavelet and gray-level co-occurrence matrices (GLCM) for comparison. The AdaBoost algorithm was then used to classify breast tumor with the extracted texture features. The experiment result shown that the classification accuracy of shear let-based method was 88.0%, which was much better than those of wavelet- and GLCM-based methods. The results indicated that the texture features extracted by the proposed method could well characterize the properties of breast tumor in ultrasound image. It suggests that the proposed method has the potential to be used in breast CAD.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123805120","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}
{"title":"Identification of Active Targets in Primate Brain Network","authors":"L. Ying, D. Ding","doi":"10.1109/ICICSE.2013.31","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.31","url":null,"abstract":"The huge developments (e. g., small-world and scale-free network theories) in complex networks have inspired new applications in neuroscience fields. To data, lots of studies have suggested that complex networks could also be used in the complex brain systems. In despite of the analysis in brain networks, the centrality methods that could be help to seek for important units in networks have been proved powerful tool in many complex networks. We thus engage PageRank centrality method to study a primate brain network in this paper. We constructed the whole and the giant strong component of macaque brain, and analyzed the top 20 important active targets (regions) in the network.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114403342","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}
{"title":"An Affine Scaling Interior Method for Solving System of Bound-Constrained Semismooth Equations","authors":"Na Luo, Jun Ni","doi":"10.1109/ICICSE.2013.21","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.21","url":null,"abstract":"In this paper, we present an affine scaling interior algorithm for solving bound-constrained semi-smooth equations. In this algorithm, we develop Inexact Newton Method that is combined with a line search technique. The affine technique and step back-tracking along inexact Newton steps are used. If iteration direction doesn't satisfy rules expected, the method allows switch to new step in which both line search and interior point backtracking techniques decrease function values. The paper presents a full proof of the method with both global and local super-linear convergences.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131188687","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}
{"title":"A Knowledge-Driven Segmentation Method for Ribs in Bone Scintigraphy Using MRF Model","authors":"Lei Zhou, Yu Qiao, Jie Yang","doi":"10.1109/ICICSE.2013.29","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.29","url":null,"abstract":"Bone scintigraphy is a useful tool in diagnosing bone diseases and accurate segmentation of ribs in bones can data-sets is an essential step for accurate diagnosis. It's a challenging task to demonstrate accurate results due to poor image quality and much extra priority should be introduced for performance improvement. To complete this task, we propose a new Markov random Field (MRF) based framework for automatic segmentation in this paper. In particularly, a series of constraints that force the coarse result of Segmentation to have smooth boundary and connected region are defined. In MRF model, segmentation problem is formed as a discrete labeling problem, so how to unify various constraints into the first-order and secondorderclique potentials of energy function is another challenge which is also studied in the paper. Our main contribution can be summarized as, 1 A framework (GSCSP-B) which is the first detailed method using MRF for segmenting ribs in Bone-Scan image is proposed.2 As to the implementation issue, a method for generating seeds in graph-cut automatically is developed for better user experience.3 Propose a series of constraints, especially the geodesic distance and boundary smoothness constraints and the method for incorporating them into MRF model is presented as well.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131367735","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}
{"title":"A Virtual Implementation of VSG & VSA","authors":"Jie Sha, Zaiying Liu","doi":"10.1109/ICICSE.2013.23","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.23","url":null,"abstract":"Vector signal generator (VSG) and vector signal analyzer (VSA) are instruments widely used for the measurement of digital communication systems. In this project a virtual VSG and a virtual VSA have been developed by using the graphical programming language LabVIEW. The analogue electrical interface of the instruments is implemented by using National Instrument Data Acquisition Unit (DAQ). The virtual VSG can generate modulated vector signals based on various digital modulation formats, change the signal bandwidth to pre-allocated spectrum, and transmit the modulated signal through analog channel. The generated vector signals can be analyzed by the VSA, which integrates the functions of digital demodulator, oscilloscope, spectrum analyzer, constellation diagram analyzer, and bit error rate tester (BERT). It can measure the data from analog channel, recover the original message signal from modulated signal, display the constellation diagram, calculate the bit error rate, etc. Finally, a general analysis of bit error probability is present via statistical simulation.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123940671","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}
{"title":"An Efficient Mesh Simplification Method in 3D Graphic Model Rendering","authors":"Wang Jian, Wang Hai-Ling, Zhou Bo, Jun Ni","doi":"10.1109/ICICSE.2013.19","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.19","url":null,"abstract":"This paper presents an algorithm of mesh simplification based on multi-feature metric guidance. The method preserves crucial visual features information for simplification of mesh generation with high quality. Our algorithm is an extended quadric-error metrics that is based on its geometric and visual characteristics. The proposed method does not require significant computing time to process original data and to analyze geometric shape. Moreover, the method can remain the shape features of models during simplification. The performance and visual quality results of the algorithm are compared with ones of other mesh simplification algorithms, indicating that the proposed algorithm improves the visual shape features and receives a good quality.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125134239","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}
{"title":"A Convenient Method of Video See-Through Augmented Reality Based on Image-Guided Surgery System","authors":"Liang Hu, Manning Wang, Zhijian Song","doi":"10.1109/ICICSE.2013.27","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.27","url":null,"abstract":"Augmented Reality (AR) is a technology which is widely used in medical area, especially in surgery room. In many cases, cumbersome equipments or complicated algorithm are introduced to establish the whole system, which would make it inefficient and unsuitable for surgery environment. This paper presents a convenient method for video see-through augmented reality on the basis of existing image-guided surgery system developed by our research center. We describe the prototype of the system, the registration of virtual objects in a marker coordinate system, and the motion tracking of the Head Mounted Display (HMD) using A Toolkit. Finally, we present the experiment results which show that the proposed AR technology can provide augmented information for the surgeons and work well with existing image-guided surgery system.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115225421","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}
{"title":"Design and Implementation of Security Enhanced Module in Database","authors":"Peng Wang, Liu Xing, Xin Gu, Changming Zhu","doi":"10.1109/ICICSE.2013.20","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.20","url":null,"abstract":"The security enhanced module is designed to improve the security of the database. The design ideas and operating principle are studied. The realizing of the security checked module, including the optimization of security rule base, the realizing of security checking and the management of security rules are explained. The experiment shows that although the response time is increased, the security of the database is enhanced enormously.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122373676","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}
Yan-bo Li, Haihong Yun, J. Zhang, Hailing Wang, Jun Ni
{"title":"3D Virtual Bronchoscopy Navigation System","authors":"Yan-bo Li, Haihong Yun, J. Zhang, Hailing Wang, Jun Ni","doi":"10.1109/ICICSE.2013.26","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.26","url":null,"abstract":"Virtual bronchoscopy (VB) plays an important role in the evaluation of chest diseases. Our goal is to develop a new Virtual Bronchoscopy Positioning and Navigation system (VBPN) to control the reality and virtual environment simultaneously, which can guide the bronchoscopy to the destination according to the data from sensor. The VBPN is composed by pre-processing and interactive simulation framework. This paper researches the key technologies of VBPN, including airway tree segment, centerline analysis, path planning. The experiment results show that it can view the trachea and more deep bronchial branches from the different angles.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125944819","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}
{"title":"A Sketch of Big Data Technologies","authors":"Zaiying Liu, Ping Yang, Lixiao Zhang","doi":"10.1109/ICICSE.2013.13","DOIUrl":"https://doi.org/10.1109/ICICSE.2013.13","url":null,"abstract":"This paper outlines the recent developed information technologies in big data. The basic principles and theories, concepts and terminologies, methods and implementations, and the status of research and development in big data are depicted. The paper also highlights the technical challenges and major difficulties. The number of key technologies required to handle big data are deliberated. They include big data acquisition, pre/post-processing, data storage and distribution, networks, and analysis and mining, etc. At last, the development trend in big data technologies is addressed for discussion.","PeriodicalId":111647,"journal":{"name":"2013 Seventh International Conference on Internet Computing for Engineering and Science","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127546631","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}