A review on medical image segmentation: techniques and its efficiency
Image segmentation is the procedure of separating an image into significant areas based on similarity or heterogeneity measures and it is widely used in many fields that involve digital imaging including the medical field. Medical images from Computed Tomography, Magnetic Resonance Imaging and Mammo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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perintis.org.my
2017
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| Online Access: | http://eprints.utm.my/80693/1/RazanaAlwee2017_AReviewonMedicalImageSegmentation.pdf |
| _version_ | 1796863239723679744 |
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| author | Subki, Luqman Ali, Nor Azizah Alwee, Razana Mohamed Amin, Muhalim |
| author_facet | Subki, Luqman Ali, Nor Azizah Alwee, Razana Mohamed Amin, Muhalim |
| author_sort | Subki, Luqman |
| collection | ePrints |
| description | Image segmentation is the procedure of separating an image into significant areas based on similarity or heterogeneity measures and it is widely used in many fields that involve digital imaging including the medical field. Medical images from Computed Tomography, Magnetic Resonance Imaging and Mammogram require a proper segmentation technique to decompose the images into parts for further analysis. However, a standard methodology for any type of medical image segmentation is yet to be developed. The current image segmentation techniques and its efficiency will be evaluated in order to discover the technique that is most appropriate to be used for medical image segmentation. Researches carried out on image segmentation techniques between the periods of 2000 to 2016 are analysed and examined. This study specifically compares the techniques by analysing the performance of each algorithm on breast cancer modalities. |
| first_indexed | 2024-03-05T20:23:46Z |
| format | Article |
| id | utm.eprints-80693 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:23:46Z |
| publishDate | 2017 |
| publisher | perintis.org.my |
| record_format | dspace |
| spelling | utm.eprints-806932019-06-27T06:15:30Z http://eprints.utm.my/80693/ A review on medical image segmentation: techniques and its efficiency Subki, Luqman Ali, Nor Azizah Alwee, Razana Mohamed Amin, Muhalim QA75 Electronic computers. Computer science Image segmentation is the procedure of separating an image into significant areas based on similarity or heterogeneity measures and it is widely used in many fields that involve digital imaging including the medical field. Medical images from Computed Tomography, Magnetic Resonance Imaging and Mammogram require a proper segmentation technique to decompose the images into parts for further analysis. However, a standard methodology for any type of medical image segmentation is yet to be developed. The current image segmentation techniques and its efficiency will be evaluated in order to discover the technique that is most appropriate to be used for medical image segmentation. Researches carried out on image segmentation techniques between the periods of 2000 to 2016 are analysed and examined. This study specifically compares the techniques by analysing the performance of each algorithm on breast cancer modalities. perintis.org.my 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/80693/1/RazanaAlwee2017_AReviewonMedicalImageSegmentation.pdf Subki, Luqman and Ali, Nor Azizah and Alwee, Razana and Mohamed Amin, Muhalim (2017) A review on medical image segmentation: techniques and its efficiency. PERINTIS eJournal, 7 (2). pp. 59-82. ISSN 2232-0725 https://perintis.org.my/ejournal/wp-content/uploads/2018/11/paper_1__vol._7_no._2_pp._59-82_.pdf |
| spellingShingle | QA75 Electronic computers. Computer science Subki, Luqman Ali, Nor Azizah Alwee, Razana Mohamed Amin, Muhalim A review on medical image segmentation: techniques and its efficiency |
| title | A review on medical image segmentation: techniques and its efficiency |
| title_full | A review on medical image segmentation: techniques and its efficiency |
| title_fullStr | A review on medical image segmentation: techniques and its efficiency |
| title_full_unstemmed | A review on medical image segmentation: techniques and its efficiency |
| title_short | A review on medical image segmentation: techniques and its efficiency |
| title_sort | review on medical image segmentation techniques and its efficiency |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/80693/1/RazanaAlwee2017_AReviewonMedicalImageSegmentation.pdf |
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