Hybrid Medical Image Retrieval System For CT Brain Images

This work covers a combination of text- and content-based image retrieval techniques for medical applications. By combining THIR with CBIR, the images can also be indexed by their visual content and would be retrieved based on visual similarity. All medical images are associated with textual patient...

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Main Author: wan Ahmad, Wan Siti Halimatul Munirah
Format: Thesis
Published: 2009
Subjects:
Online Access:http://shdl.mmu.edu.my/1677/
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author wan Ahmad, Wan Siti Halimatul Munirah
author_facet wan Ahmad, Wan Siti Halimatul Munirah
author_sort wan Ahmad, Wan Siti Halimatul Munirah
building MMU Institutional Repository
collection Online Access
description This work covers a combination of text- and content-based image retrieval techniques for medical applications. By combining THIR with CBIR, the images can also be indexed by their visual content and would be retrieved based on visual similarity. All medical images are associated with textual patient's metadata that stores valuable information and can be used to get specific results. For this reason, traditional text-based retrieval is still helpful and a combination of both the accuracy of the retrieved results. Hence, a system that integrates both methods is expected to be more efficient in retrieving those desired medical images.
first_indexed 2025-11-14T18:03:23Z
format Thesis
id mmu-1677
institution Multimedia University
institution_category Local University
last_indexed 2025-11-14T18:03:23Z
publishDate 2009
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repository_type Digital Repository
spelling mmu-16772010-09-23T04:12:47Z http://shdl.mmu.edu.my/1677/ Hybrid Medical Image Retrieval System For CT Brain Images wan Ahmad, Wan Siti Halimatul Munirah R Medicine (General) This work covers a combination of text- and content-based image retrieval techniques for medical applications. By combining THIR with CBIR, the images can also be indexed by their visual content and would be retrieved based on visual similarity. All medical images are associated with textual patient's metadata that stores valuable information and can be used to get specific results. For this reason, traditional text-based retrieval is still helpful and a combination of both the accuracy of the retrieved results. Hence, a system that integrates both methods is expected to be more efficient in retrieving those desired medical images. 2009-12 Thesis NonPeerReviewed wan Ahmad, Wan Siti Halimatul Munirah (2009) Hybrid Medical Image Retrieval System For CT Brain Images. Masters thesis, Multimedia University. http://myto.perpun.net.my/metoalogin/logina.php
spellingShingle R Medicine (General)
wan Ahmad, Wan Siti Halimatul Munirah
Hybrid Medical Image Retrieval System For CT Brain Images
title Hybrid Medical Image Retrieval System For CT Brain Images
title_full Hybrid Medical Image Retrieval System For CT Brain Images
title_fullStr Hybrid Medical Image Retrieval System For CT Brain Images
title_full_unstemmed Hybrid Medical Image Retrieval System For CT Brain Images
title_short Hybrid Medical Image Retrieval System For CT Brain Images
title_sort hybrid medical image retrieval system for ct brain images
topic R Medicine (General)
url http://shdl.mmu.edu.my/1677/
http://shdl.mmu.edu.my/1677/