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2016 8th International Conference on Information Technology in Medicine and Education (ITME)

23-25 Dec. 2016

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Displaying Results 1 - 25 of 201
  • [Front cover]

    Publication Year: 2016, Page(s): c1
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  • [Title page i]

    Publication Year: 2016, Page(s): i
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  • [Title page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - xvii
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  • Message from the ITME 2016 General Chairs

    Publication Year: 2016, Page(s): xviii
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  • Message from the ITME 2016 Program Chairs

    Publication Year: 2016, Page(s): xix
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  • Organizing Committee

    Publication Year: 2016, Page(s): xx
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  • Program Committee

    Publication Year: 2016, Page(s):xxi - xxii
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  • Reviewers

    Publication Year: 2016, Page(s):xxiii - xxiv
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  • A Chronic Disease Self-Management System Based on OWL-Based Ontologies and Semantic Rules

    Publication Year: 2016, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (761 KB)

    Chronic disease self-management contains many aspects of knowledge, such as disease, nutrition, exercise, pharmacy and medical guidelines. This study aims to integrate the knowledge from various domains and develop a chronic disease self-management knowledge base (CDSMKB) using web ontology language (OWL) and semantic rules in Jena rule format. A mobile chronic disease self-management system (CDSM... View full abstract»

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  • A Cost Sensitive and Class-Imbalance Classification Method Based on Neural Network for Disease Diagnosis

    Publication Year: 2016, Page(s):7 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB)

    The automation of disease diagnosis is confronted with three important problems which are class imbalance, sampling bias and cost sensitivity. In order to make a reasonable representation of the imbalance state, class distribution histogram and likelihood are devoted to measuring degree of its imbalance. A cost optimization model for disease diagnosis is proposed, which be successfully used in dis... View full abstract»

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  • A Fast GPU Based High-Quality Three-Dimensional Visualization Method

    Publication Year: 2016, Page(s):11 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (339 KB)

    Three-dimensional visualization is one of the most important researches in the field of medical images processing. Volume rendering is a powerful technique for visualizing meaningful information extracted from volumetric data in three-dimensional visualization. Although it does not need to generate intermediate geometric primitives and its rendering result is high quality, computational complexity... View full abstract»

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  • A Modified Distance Regularized Level Set Evolution for Masseter Segmentation

    Publication Year: 2016, Page(s):16 - 19
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (474 KB)

    Segmentation of the masseter muscle is one of the most important bases for diagnosis and treatment, but automatical segmentation of masseter is very difficult as the masseter and its adjacent tissues have very similar gray levels. In this paper, a novel method is presented to segment the masseter in MRI images, which modifies the distance regularized level set evolution (DRLSE) with a new adaptive... View full abstract»

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  • A Multi-objective Framework for Brain MRI Threshold Segmentation

    Publication Year: 2016, Page(s):20 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (391 KB)

    In this paper, a novel framework for brain MRI threshold segmentation based on multi-objective model is proposed. Two classical techniques named Otsu's method (OTSU) and maximum entropy method (MET) are selected as the objective function based on their opposite characteristics when processing brain MRI with different levels of noise and bias field. The proposed method aims at finding trade-off sol... View full abstract»

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  • A New Registration Algorithm Combined MRF with BBR

    Publication Year: 2016, Page(s):25 - 29
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (474 KB)

    This paper proposes a registration algorithm which combined MRF and BBR. First, this approach uses MRF to segment the reference volume, then, it extracts the boundary of brain white matter from the segmented volume and takes the intensities of points across the boundary of white matter as the similarity of egistration. Compared with other algorithms based boundary, it merely need to extract the bo... View full abstract»

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  • A Novel Baicalin-Loaded Polyelectrolyte Nanoparticle Formulation

    Publication Year: 2016, Page(s):30 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (788 KB)

    To successfully prepare drug delivery system, nanoparticles (NPs) with simple and effective method avoiding use of potentially toxic solvent and components. Baicalin was chosen as a model low molecular weight chemotherapeutic drug and baicalin-loaded NPs were prepared with choosing baicalin as the parcel drugs, chitosan to pack and TPP to solidify. The resultant baicalin NPs had a spherical struct... View full abstract»

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  • A Quality Assessment Method of Single-Lead ECG Signal Based on Spectral Analysis

    Publication Year: 2016, Page(s):35 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    There are various disturbances in the acquisition of ECG signals. Signal quality assessment can evaluate the noise level and signal quality. Traditional ECG quality assessment methods are not suitable for single-lead ECG signal. In this paper, first, simulated ECG signals with simulated powerline and EMG interferences were used to analyze the spectrum distribution of ECG signal and the effects of ... View full abstract»

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  • A Real-Time Force-Displacement Detection and Evaluation System for Wearable Hand Exoskeleton Based on Multi-sensors

    Publication Year: 2016, Page(s):39 - 43
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (625 KB)

    The real-time accurate judgment of force and angular displacement is the basis of controlling for wearable hand rehabilitation robot. This paper puts forward to and set up a kind of real-time detection system of force and the angular displacement, which includes an elastic pressure glove and three thin film pressure sensors and three angular displacement sensors. And the system can accurately dete... View full abstract»

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  • A Study on the Kinetic Parameters of Pushing Manipulation with One–Finger and Its Significance

    Publication Year: 2016, Page(s):44 - 49
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (273 KB)

    OBJECTIVE: To measure the kinetic parameters of pushing manipulation with one-finger, and provide quantitative evidence for the evaluation of PMOF manipulation. METHOD: The trajectory images and the manipulative force of the point-pressing manipulation were tested and recorded by a multi-film pressure measurement system. RESULTS: The average maximum force of PMOF was maintained at 11.75±0.88N... View full abstract»

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  • A Web-Based Mobile Medical Image Reading System

    Publication Year: 2016, Page(s):50 - 53
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB)

    This paper presents a solution of a cross platform medical image reading system which supports access medical image on mobile platform based on WEB. In the web front-end, jQuery Mobile open source library is used for interface programming and gesture recognition. In the web server side, we develop Web Service with Visual C++ program language and use DICOM-WADO protocol to convert DICOM image to JP... View full abstract»

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  • Acupuncture for Generalized Anxiety Disorder: A Systematic Review

    Publication Year: 2016, Page(s):54 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    Objective Generalized anxiety disorder (GAD) is the most common anxiety disorder in primary care. The clinical studies on anxiety disorders have been commonly conducted, however the efficacy of acupuncture in treating GAD is uncertain. We therefore performed a systematic review to evaluate the evidence regarding acupuncture for GAD. Data Sources CBM, CAJ, CSJD, CNKI, WanFang, EMBASE, Pubmed/MEDLIN... View full abstract»

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  • Aging Related White Matter Tracts Detection Based on 42 Clinically Healthy Subjects

    Publication Year: 2016, Page(s):61 - 65
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB)

    Diffusion tensor imaging (DTI) offers an efficient evaluation over microstructure of white matter integrity. In this study, we aim to study the white matter tracts, which are associated with normal ageing. 42 healthy subjects were included, which is composed of two groups. One is young subjects (age = 22.29±1.35), and the other is elder (age = 63.71±2.00). Statistical analysis over FA wa... View full abstract»

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  • An Accurate Passive Shimming Method

    Publication Year: 2016, Page(s):66 - 69
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (897 KB)

    Passive shimming optimizations usually contain constrain condition about the maximum number of shim-piece on the position where the shim-pieces may be placed at, but the papers do not involve how to set the maximum number of shim-piece. In traditional optimization method, the maximum number of shim-piece is set into a same constant. But, in this paper, the maximum number of shim-piece is determine... View full abstract»

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  • An Automatic Method to Extract Brain Tissue in CT Data

    Publication Year: 2016, Page(s):70 - 72
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (345 KB)

    In this paper, an automatic method is proposed to extract brain tissue in CT brain. Firstly, we use the adaptive threshold algorithm to compute the range of gray value of the brain tissue. Secondly, we use the range of the thresholds to estimate the position of seed point which is defined as the center of gravity of the brain. Finally, we propose a 3D region growing algorithm based on the pre-judg... View full abstract»

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