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Multiresolution multiscale active mask segmentation of fluorescence microscope images

Multiresolution multiscale active mask segmentation of fluor...

引用

Wavelets XIII

作者： Srinivasa, Gowri Fickus, Matthew Kovacevic, Jelena Department of Mathematics and Statistics Air Force Institute of Technology Wright-Patterson AFB OH 45433 United States Center for Bioimage Informatics Departments of Biomedical and Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States Center for Pattern Recognition Department of Information Science and Engineering PES School of Engineering Bangalore India

ISBN: (纸本)9780819477361

We propose an active mask segmentation framework that combines the advantages of statistical modeling, smoothing, speed and flexibility offered by the traditional methods of region-growing, multiscale, multiresolution and active contours respectively. At the crux of this framework is a paradigm shift from evolving contours in the continuous domain to evolving multiple masks in the discrete domain. Thus, the active mask framework is particularly suited to segment digital images. We demonstrate the use of the framework in practice through the segmentation of punctate patterns in fluorescence microscope images. Experiments reveal that statistical modeling helps the multiple masks converge from a random initial configuration to a meaningful one. This obviates the need for an involved initialization procedure germane to most of the traditional methods used to segment fluorescence microscope images. While we provide the mathematical details of the functions used to segment fluorescence microscope images, this is only an instantiation of the active mask framework. We suggest some other instantiations of the framework to segment different types of images. © 2009 SPIE.

关键词： Fluorescence microscopy

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Effectiveness of Game-based Learning of a National Health e-Learning Network for nutrition education in elementary school

Effectiveness of Game-based Learning of a National Health e-...

引用

International Conference on e-health Networking, Applications and Services (HealthCom)

作者： Chun-Ming Hung Chiung-Hui Chiu Yen-Ting Chen Mei-Ju Su Heng-Shuen Chen Department of Information and Learning Technology National University of Tainan Taiwan Graduate Institute of Computer Science and Information Education National University of Tainan Taiwan Graduate Institute of Computer Science and Information Education National University of Tainan Seattle Central Community College USA Institute of Electronics Engineering National Taiwan University Taiwan Institute of Electronics Engineering Department of Medical Informatics and Department of Family Medicine National Taiwan University Taiwan

This research intended to study the effects of utilizing games in health e-learning network on teaching third graders in elementary schools about nutrition. The studied groups of this research were 2 classes of 33 third graders; the two classes were separated into experimental and control group. The experiment was implemented in a four-week duration. The experimental group learned the knowledge of nutrition based on game playing on a national health e-learning network, whereas the control group was lectured with multi-media slide shows. During the learning process, the two groups underwent the steps of pretest, learning and posttest. The result revealed that students received better scores on nutrition knowledge test and dietary behavior assessments in the experimental group, which are evidence of the beneficial impact of health e-learning network's games on nutrition education and dietary behavior among elementary school students. This however, did not show much difference between the two groups in the assessment of nutrition attitude. Within the experimental group, the results did not differ much between the girls and boys in all three assessments.

关键词： Electronic learning Educational institutions

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A sample identification and tracking system for biobanks

A sample identification and tracking system for biobanks

引用

2009 22nd IEEE International Symposium on computer-Based medical Systems, CBMS 2009

作者： Zarabzadeh, Atieh Hayati, Farzad William G Watson, R. Bradley, Geoff Grimson, Jane Centre for Health Informatics Department of Computer Science Trinity College Dublin United States The Department of Electronic Electrical and Computer Engineering University of Birmingham United Kingdom UCD School of Medicine and Medical Science UCD Conway Institute of Biomo Lecular and Biomedical Research University College Dublin United States Trinity Centre for High Performance Computing Trinity College Dublin United States

ISBN: (纸本)9781424448784

The discovery of biomarkers and the underlying causes of diseases are enabled through the analysis of biological samples and data stored in biobanks. Biological samples and their associated data are expensive to collect and maintain, and it is important to store and manage them efficiently. During processing, samples and data go through a number of procedures and techniques, which are often in different locations and by individuals with different access permissions. It is essential to maintain the link between the samples and their associated data throughout the processes they undergo. This paper presents a novel system of tracking samples and data from collection through processing to storage and retrieval, which is based on Radio Frequency Identification (RFID) technology. This system ensures the security and reliability of sample data as well as locationindependent recording and updating of sample data, as they move along the workflow. ©2009 IEEE.

关键词： Radio frequency identification (RFID)

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Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks

Assessment of musical training induced neuroplasticity by au...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Sheng-Fu Liang Chi-Sheng Liu Wan-Lin Chang Yu-Hsiang Tsao Li-Wei Ko Chin-Teng Lin Department of Computer Science and Information Engineering the Institute of Medical Informatics National Cheng Kung University Tainan County Taiwan Brain Research Center National Chiao Tung University Hsinchu Taiwan

Music provides a tool to study numerous aspects of neuroscience from motion-skill to emotion since listening to and producing music involves many brain functions. The musician's brain is also regarded as an ideal model to investigate plasticity of the human brain. In this paper, an EEG-based neural network is proposed to assess neuroplasticity induced by musical training. A musical chord perception experiment is designed to acquire and compare the behavioral and neural responses of musicians and non-musicians. The ERPs elicited by the consonant and dissonant chords are combined together as the features of the model. The principle component analysis (PCA) is used to reduce feature dimensions and the dimension-reduced features are input to a feedforward neural network to recognize the brain potentials belong to a musician or a non-musician. The accuracy can reach 97% in average for leave-one-out cross validation of six subjects in this experiment. It demonstrates the feasibility of assessing effects of musical training by ERP signals elicited by musical chord perception.

关键词： Neuroplasticity Neural networks Biological neural networks Music Brain modeling Enterprise resource planning Neuroscience Humans Principal component analysis Feedforward neural networks

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An approach for automatically measuring facial activity in depressed subjects

An approach for automatically measuring facial activity in d...

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2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

作者： McIntyre, Gordon Göcke, Roland Hyett, Matthew Green, Melissa Breakspear, Michael College of Engineering and Computer Science Australian National University Canberra ACT Australia Faculty of Information Sciences and Engineering University of Canberra Canberra ACT Australia School of Psychiatry University of New South Wales Sydney NSW Australia Black Dog Institute Sydney NSW Australia Division of Mental Health Research Queensland Institute of Medical Research Royal Brisbane and Womans Hospital Brisbane QLD Australia

ISBN: (纸本)9781424447992

This paper is motivated by Ellgring's work in non-verbal communication in depression to measure and compare the levels of facial activity, before and after treatment, of endogenous and neurotic depressives. Similar to that work, we loosely associate the measurements with Action Units (AU) groups from the Facial Action Coding System (FACS). However, we use the neologism Region Units (RU) to describe regions of the face that encapsulate AUs. In contrast to Ellgring's approach, we automatically generate the measurements and provide both prototypical expression recognition and RU-specific activity measurements. Latency between expressions is also measured and the system is conducive to comparison across groups and individual subjects. By using Active Appearance Models (AAM) to locate the fiduciary facial points, and MultiBoost to classify prototypical expressions and the RUs, we can provide a simple, objective, flexible and cost-effective means of automatically measuring facial activity. ©2009 IEEE.

关键词： Cost effectiveness

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Extracting the coronary artery in angiographic image based on à trous wavelet of rotary Gaussian with adaptive space coefficient

Extracting the coronary artery in angiographic image based o...

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2009 International Conference on Computational Intelligence and Security, CIS 2009

作者： Wang, Qingzhu Liu, Miao Wang, Ke Chen, Bo An, Donghong Ying, Ying College of Communication Engineering Jilin University Changchun China Department of Computer Science Daqing Petroleum Institute Jilin University Changchun China Department of Pharmacy Changchun Medical College Changchun China China-Japan Union Hospital Jilin University Changchun China College of Information and Communication Engineering Beijing University of Post and Telecommunication China

ISBN: (纸本)9780769539317

According to the matching differences cased by cardiac non-rigid motion between angiographic images before and after injected in subtract angiography which is most widely used in diagnosis, a new algorithm based on à trous wavelet of rotary Gaussian with adaptive space coefficient σ and segmentation based on transition region is put forward to in this paper. The angiographic image is pretreated by an adaptive and multi-hierarchy method to obtain images of different levels, and all sub-images are obtained by extracting the coronary artery from image of every level, all sub-images are fused to obtain the final image in accordance by certain rules. Simulation results based on 200 actual coronary artery angiographic images indicate that comparing with traditional algorithms, SNR is improved 4.7%-8.8%, and positioning accuracy of centerline is improved3.9%-37.5%. © 2009 IEEE.

关键词： Image enhancement

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A combined analytical and simulation-based model for performance evaluation of a reconfigurable instruction set processor

A combined analytical and simulation-based model for perform...

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Asia and South Pacific Design Automation Conference

作者： Farhad Mehdipour Hamid Noori Bahman Javadi Hiroaki Honda Koji Inoue Kazuaki Murakami Faculty of Information Science and Electrical Engineering Kyushu University Japan Institute of Systems Information Technologies and Nanotechnologies Japan Computer Engineering and IT Department Amirkabir University of Technology슠 Iran Department of Informatics Kyushu University Japan

ISBN: (纸本)9781424427482

Performance evaluation is a serious challenge in designing or optimizing reconfigurable instruction set processors. The conventional approaches based on synthesis and simulations are very time consuming and need a considerable design effort. A combined analytical and simulation-based model (CAnSO*) is proposed and validated for performance evaluation of a typical reconfigurable instruction set processor. The proposed model consists of an analytical core that incorporates statistics gathered from cycle-accurate simulation to make a reasonable evaluation and provide a valuable insight. Compared to cycle-accurate simulation results, CAnSO proves almost 2% variation in the speedup measurement.

关键词： Analytical models Performance analysis Computational Intelligence Society information technology Java Design optimization information analysis Computational modeling computer simulation information science

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Comparative evaluation of spatial context techniques for semantic image analysis

Comparative evaluation of spatial context techniques for sem...

引用

International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS

作者： G. Th. Papadopoulos C. Saathoff M. Grzegorzek V. Mezaris I. Kompatsiaris S. Staab M. G. Strintzis Centre of Research & Technology Hellas Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical & Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Information Systems & Semantic Web Research Group Institute of Computer Science University of Koblenz Koblenz Germany

In this paper, two approaches to utilizing contextual information in semantic image analysis are presented and comparatively evaluated. Both approaches make use of spatial context in the form of fuzzy directional relations. The first one is based on a Genetic Algorithm (GA), which is employed in order to decide upon the optimal semantic image interpretation by treating semantic image analysis as a global optimization problem. On the other hand, the second method follows a Binary Integer Programming (BIP) technique for estimating the optimal solution. Both spatial context techniques are evaluated with several different combinations of classifiers and low-level features, in order to demonstrate the improvements attained using spatial context in a number of different image analysis schemes.

关键词： Image analysis Image segmentation Classification algorithms information processing Image generation Image retrieval informatics Telematics information systems Semantic Web

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Assessment for Attending and Responding Stages of Affective Teaching Goal in Distance Learning Based on Fuzzy Fusion

Assessment for Attending and Responding Stages of Affective ...

引用

International Forum on information Technology and Applications, IFITA

作者： Kuo-An Hwang Chia-Hao Yang Chuan-Ren Wang Institute of Networking and Communication Engineering Chao Yang University of Technology Taichung Taiwan Institute of Informatics Chao Yang University of Technology Taichung Taiwan Department of Computer Science and Information Engineering Chao Yang University of Technology Taichung Taiwan

Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not assess the achievement of affective domain teaching goal. If teachers can know the student's affective state through the learning system, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students and analyzes their participation in discussion to evaluate the student's affective state by fuzzy integral. Finally, teachers can assess the student's achievement in affective domain teaching goal.

关键词： Education computer aided instruction Distance learning Space technology Chaotic communication information technology Application software computer applications Psychology Electronic learning

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Newborn screening system based on adaptive feature selection and support vector machines

Newborn screening system based on adaptive feature selection...

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2009 9th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2009

作者： Hsieh, Sung-Huai Chien, Yin-Hsiu Shen, Chia-Ping Chen, Wei-Hsin Chen, Po-Hao Hsieh, Sheau-Ling Cheng, Po-Hsun Lai, Feipei Information Systems Office National Taiwan University Hospital Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Network and Computer Centre National Chiao Tung University Hsin Chu Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taiwan Department of Software Engineering National Kaohsiung Normal University Taiwan Department of Medical Genetics National Taiwan University Hospital Taiwan

ISBN: (纸本)9780769536569

The clinical symptoms of metabolic disorders during neonatal period are often not apparent, if not treated early irreversible damages such as mental retardation may occur, even death. Therefore, practicing newborn screening is very important to prevent neonatal from these damages. In this paper, the newborn screening system used support vector machines (SVM) classification technique is proposed in place of cut-off value decision to evaluate the metabolic substances concentration raw data obtained from tandem mass spectrometry (MS/MS) and determine whether the newborn has some kinds of metabolic disorder diseases. On the basis of the proposed features, new analytic combinations are identified with superior discriminatory performance compared with the best published combinations. Classifiers built with the feature selection to find C3/C2, C3 and C16 of three key point features achieved diagnostic sensitivities, specificities and accuracy approaching 100%. © 2009 IEEE.

关键词： Support vector machines

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