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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...

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Main Authors: Subki, Luqman, Ali, Nor Azizah, Alwee, Razana, Mohamed Amin, Muhalim
Format: Article
Language:English
Published: perintis.org.my 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/80693/1/RazanaAlwee2017_AReviewonMedicalImageSegmentation.pdf
http://eprints.utm.my/id/eprint/80693/
https://perintis.org.my/ejournal/wp-content/uploads/2018/11/paper_1__vol._7_no._2_pp._59-82_.pdf
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id my.utm.80693
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spelling my.utm.806932019-06-27T06:15:30Z http://eprints.utm.my/id/eprint/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/id/eprint/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
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
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
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.
format Article
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
title A review on medical image segmentation: techniques and its efficiency
title_short 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_sort review on medical image segmentation: techniques and its efficiency
publisher perintis.org.my
publishDate 2017
url http://eprints.utm.my/id/eprint/80693/1/RazanaAlwee2017_AReviewonMedicalImageSegmentation.pdf
http://eprints.utm.my/id/eprint/80693/
https://perintis.org.my/ejournal/wp-content/uploads/2018/11/paper_1__vol._7_no._2_pp._59-82_.pdf
_version_ 1643658488396644352
score 13.211869

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