A Web-based Medical Diagnosis Supporting System Using Image Processing Technology

碩士 === 淡江大學 === 資訊工程學系碩士班 === 94 === As time goes by, it becomes common that some technologies of image processing applied on medical purposes. There are still shortages and disadvantages of current medical aid system. Complex operation procedures, long processing time, unfriendly and inaccurate res...

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Main Authors: Chih-Yui Hu, 胡致宇
Other Authors: Huan-Chao Keh
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/46464315756370445510
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spelling ndltd-TW-094TKU053920372016-05-30T04:21:31Z http://ndltd.ncl.edu.tw/handle/46464315756370445510 A Web-based Medical Diagnosis Supporting System Using Image Processing Technology 植基於影像處理技術之網路醫療輔助診斷系統 Chih-Yui Hu 胡致宇 碩士 淡江大學 資訊工程學系碩士班 94 As time goes by, it becomes common that some technologies of image processing applied on medical purposes. There are still shortages and disadvantages of current medical aid system. Complex operation procedures, long processing time, unfriendly and inaccurate results, these topics are popular issues on research of medical image processing. Based on these reasons above, we proposed a complete medical aid system to remove noises and enhance contrast from the source medical image. Then the regions of interest are divided by Sobel Filter and positioning models are established in a set of continuous frames to locate regions in a series of images. We can change the settings of medical image analysis according to users’ requirements and observe the volume variation and intensity of energy to present target images by different thresholds in cases. Theses processed image information can be referenced by doctors. There is no necessary for using additional tools and resources, so diagnosis time can be saved by using this system. Finally we integrated this system to a web component, users can access this system via network, we just develop a convenient and efficient tool. Huan-Chao Keh 葛煥昭 2004 學位論文 ; thesis 91 zh-TW
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description 碩士 === 淡江大學 === 資訊工程學系碩士班 === 94 === As time goes by, it becomes common that some technologies of image processing applied on medical purposes. There are still shortages and disadvantages of current medical aid system. Complex operation procedures, long processing time, unfriendly and inaccurate results, these topics are popular issues on research of medical image processing. Based on these reasons above, we proposed a complete medical aid system to remove noises and enhance contrast from the source medical image. Then the regions of interest are divided by Sobel Filter and positioning models are established in a set of continuous frames to locate regions in a series of images. We can change the settings of medical image analysis according to users’ requirements and observe the volume variation and intensity of energy to present target images by different thresholds in cases. Theses processed image information can be referenced by doctors. There is no necessary for using additional tools and resources, so diagnosis time can be saved by using this system. Finally we integrated this system to a web component, users can access this system via network, we just develop a convenient and efficient tool.
author2 Huan-Chao Keh
author_facet Huan-Chao Keh
Chih-Yui Hu
胡致宇
author Chih-Yui Hu
胡致宇
spellingShingle Chih-Yui Hu
胡致宇
A Web-based Medical Diagnosis Supporting System Using Image Processing Technology
author_sort Chih-Yui Hu
title A Web-based Medical Diagnosis Supporting System Using Image Processing Technology
title_short A Web-based Medical Diagnosis Supporting System Using Image Processing Technology
title_full A Web-based Medical Diagnosis Supporting System Using Image Processing Technology
title_fullStr A Web-based Medical Diagnosis Supporting System Using Image Processing Technology
title_full_unstemmed A Web-based Medical Diagnosis Supporting System Using Image Processing Technology
title_sort web-based medical diagnosis supporting system using image processing technology
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/46464315756370445510
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