Random walkers based segmentation method for breast thermography

In breast thermography diagnostic, proper detection and segmentation of the areola area as well as detection of breast boundaries present the biggest challenge. As the boundaries of breasts especially in the upper quadrants are usually not present, this produces a great deal of challenge to segment...

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Main Authors: Moghbel, Mehrdad, Mahmud, Rozi, Mashohor, Syamsiah, Saripan, M. Iqbal
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/39591/1/Random%20walkers%20based%20segmentation%20method%20for%20breast%20thermography.pdf
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spelling oai:psasir.upm.edu.my:39591 http://psasir.upm.edu.my/id/eprint/39591/ Random walkers based segmentation method for breast thermography Moghbel, Mehrdad Mahmud, Rozi Mashohor, Syamsiah Saripan, M. Iqbal In breast thermography diagnostic, proper detection and segmentation of the areola area as well as detection of breast boundaries present the biggest challenge. As the boundaries of breasts especially in the upper quadrants are usually not present, this produces a great deal of challenge to segment breasts automatically. Many approaches have been developed to segment the breast in the past such as Snakes, Active Contours and Circular Hough Transforms, but these methods fail to detect the boundaries of the breast with the required level of accuracy especially the upper boundaries of the breast. By utilizing most recent segmentation method which is Random Walkers, the breast can be segmented accurately which in turn will increase the accuracy and the reliability of computer aided detection/diagnosis systems. IEEE 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39591/1/Random%20walkers%20based%20segmentation%20method%20for%20breast%20thermography.pdf Moghbel, Mehrdad and Mahmud, Rozi and Mashohor, Syamsiah and Saripan, M. Iqbal (2012) Random walkers based segmentation method for breast thermography. In: IEEE EMBS International Conference on Biomedical Engineering and Sciences (IECBES), 17-19 Dec. 2012, Langkawi, Kedah, Malaysia. (pp. 627-630). 10.1109/IECBES.2012.6498046
institution UPM IR
collection UPM IR
language English
description In breast thermography diagnostic, proper detection and segmentation of the areola area as well as detection of breast boundaries present the biggest challenge. As the boundaries of breasts especially in the upper quadrants are usually not present, this produces a great deal of challenge to segment breasts automatically. Many approaches have been developed to segment the breast in the past such as Snakes, Active Contours and Circular Hough Transforms, but these methods fail to detect the boundaries of the breast with the required level of accuracy especially the upper boundaries of the breast. By utilizing most recent segmentation method which is Random Walkers, the breast can be segmented accurately which in turn will increase the accuracy and the reliability of computer aided detection/diagnosis systems.
format Conference or Workshop Item
author Moghbel, Mehrdad
Mahmud, Rozi
Mashohor, Syamsiah
Saripan, M. Iqbal
spellingShingle Moghbel, Mehrdad
Mahmud, Rozi
Mashohor, Syamsiah
Saripan, M. Iqbal
Random walkers based segmentation method for breast thermography
author_facet Moghbel, Mehrdad
Mahmud, Rozi
Mashohor, Syamsiah
Saripan, M. Iqbal
author_sort Moghbel, Mehrdad
title Random walkers based segmentation method for breast thermography
title_short Random walkers based segmentation method for breast thermography
title_full Random walkers based segmentation method for breast thermography
title_fullStr Random walkers based segmentation method for breast thermography
title_full_unstemmed Random walkers based segmentation method for breast thermography
title_sort random walkers based segmentation method for breast thermography
publisher IEEE
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/39591/1/Random%20walkers%20based%20segmentation%20method%20for%20breast%20thermography.pdf
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score 12.833586