Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf
Detection of abnormalities in brain tissue area in different medical images is inspired by the necessity of high accuracy when dealing with human life. A Variety of diseases occur in brain tissue area such as brain tumour, stroke, infarction, haemorrhage and others. At the present time, the current...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Faculty of Computer and Mathematical Sciences
2010
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| Online Access: | https://ir.uitm.edu.my/id/eprint/11104/1/11104.pdf |
| _version_ | 1825733908637941760 |
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| author | Ibrahim, Shafaf Abdul Khalid, Noor Elaiza Manaf, Mazani |
| author_facet | Ibrahim, Shafaf Abdul Khalid, Noor Elaiza Manaf, Mazani |
| author_sort | Ibrahim, Shafaf |
| collection | UITM |
| description | Detection of abnormalities in brain tissue area in different medical images is inspired by the necessity of high accuracy when dealing with human life. A Variety of diseases occur in brain tissue area such as brain tumour, stroke, infarction, haemorrhage and others. At the present time, the current method that is used for diagnosing those diseases is using a well known digital imaging technique which is Magnetic Resonance Imaging (MRI), though the brain diseases are still difficult to diagnose due to certain circumstances. Thus, Computer Aided System (CAS) is significantly useful due to the fact that it could enhance the results of humans in such domain. It is also important that the false negative cases must be kept at a very low rate. This paper proposes a development of a CAD that implement image processing techniques for segmenting any kind of abnormalities that occur in human brain tissue area. The system is able to determine the patterns and characteristics for each part of particular brain tissue in order to identify any brain abnormalities. The behind idea is that the local textures in the images can reveal the characteristic of abnormalities of the biological structures. Therefore, the system is expected to detect threats in patients and planning for early treatment strategies in the future. |
| first_indexed | 2024-03-06T01:23:56Z |
| format | Article |
| id | oai:ir.uitm.edu.my:11104 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T01:23:56Z |
| publishDate | 2010 |
| publisher | Faculty of Computer and Mathematical Sciences |
| record_format | dspace |
| spelling | oai:ir.uitm.edu.my:111042022-06-14T02:34:07Z https://ir.uitm.edu.my/id/eprint/11104/ Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf mjoc Ibrahim, Shafaf Abdul Khalid, Noor Elaiza Manaf, Mazani Detection of abnormalities in brain tissue area in different medical images is inspired by the necessity of high accuracy when dealing with human life. A Variety of diseases occur in brain tissue area such as brain tumour, stroke, infarction, haemorrhage and others. At the present time, the current method that is used for diagnosing those diseases is using a well known digital imaging technique which is Magnetic Resonance Imaging (MRI), though the brain diseases are still difficult to diagnose due to certain circumstances. Thus, Computer Aided System (CAS) is significantly useful due to the fact that it could enhance the results of humans in such domain. It is also important that the false negative cases must be kept at a very low rate. This paper proposes a development of a CAD that implement image processing techniques for segmenting any kind of abnormalities that occur in human brain tissue area. The system is able to determine the patterns and characteristics for each part of particular brain tissue in order to identify any brain abnormalities. The behind idea is that the local textures in the images can reveal the characteristic of abnormalities of the biological structures. Therefore, the system is expected to detect threats in patients and planning for early treatment strategies in the future. Faculty of Computer and Mathematical Sciences 2010 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/11104/1/11104.pdf Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf. (2010) Malaysian Journal of Computing (MJoC) <https://ir.uitm.edu.my/view/publication/Malaysian_Journal_of_Computing_=28MJoC=29/>, 1 (1). pp. 1-10. ISSN 2231-7473 https://mjoc.uitm.edu.my/ |
| spellingShingle | Ibrahim, Shafaf Abdul Khalid, Noor Elaiza Manaf, Mazani Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf |
| title | Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf |
| title_full | Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf |
| title_fullStr | Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf |
| title_full_unstemmed | Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf |
| title_short | Computer aided system for brain abnormalities segmentation / Shafaf Ibrahim, Noor Elaiza Abdul Khalid and Mazani Manaf |
| title_sort | computer aided system for brain abnormalities segmentation shafaf ibrahim noor elaiza abdul khalid and mazani manaf |
| url | https://ir.uitm.edu.my/id/eprint/11104/1/11104.pdf |
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