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Segmentation and characterization of masses in breast ultrasound images using active contour

The active contour or Snake is a computer generated curve, used to trace boundaries of images. This paper presents the application of Snake for the segmentation of masses on breast ultrasound images and the characterization of the segmented masses as malignant or benign. Initially, the Balloon Snake...

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Main Authors: Jumaat, Abdul Kadir, Wan Abdul Rahman, Wan Eny Zarina, Ibrahim, Arsmah, Mahmud, Rozi
Format: Conference or Workshop Item
Language:English
Published: IEEE 2011
Online Access:http://psasir.upm.edu.my/id/eprint/45339/1/Segmentation%20and%20characterization%20of%20masses%20in%20breast%20ultrasound%20images%20using%20active%20contour.pdf
http://psasir.upm.edu.my/id/eprint/45339/
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spelling my.upm.eprints.453392020-08-05T06:49:02Z http://psasir.upm.edu.my/id/eprint/45339/ Segmentation and characterization of masses in breast ultrasound images using active contour Jumaat, Abdul Kadir Wan Abdul Rahman, Wan Eny Zarina Ibrahim, Arsmah Mahmud, Rozi The active contour or Snake is a computer generated curve, used to trace boundaries of images. This paper presents the application of Snake for the segmentation of masses on breast ultrasound images and the characterization of the segmented masses as malignant or benign. Initially, the Balloon Snake is chosen to segment the masses. Comparison on the masses areas segmented by the Balloon Snake is done against the areas traced by radiologist. Experimental result shows that from fifty masses tested, the Balloon Snake successfully segment the masses with accuracy of 95.71%. Then, a mass is characterized as benign or malignant using a proposed method namely the semi-automated characterization (SAC) method. The method is based on the segmented masses produced by the Balloon Snake. The criterion of angular margin is considered in characterizing the masses as malignant or benign by the SAC method. The characterization reading of a mass by the SAC method is compared with thirty sets of characterization readings of a mass by different radiologists. The comparison is made in terms of sensitivity and specificity values. Based on the values, the receiver operating characteristics (ROC) curve is plotted for each set of comparison. From the thirty sets of comparisons, it is found that the area under curve of all the thirty ROC curves are greater than 0.7. The value implies that the SAC method gives high accuracy in characterizing benign from malignant mass. Since the method is based on the segmented masses by the Balloon Snake, the value also implies that the accuracy of Balloon Snake in segmenting the images is high (95.71%). IEEE 2011 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45339/1/Segmentation%20and%20characterization%20of%20masses%20in%20breast%20ultrasound%20images%20using%20active%20contour.pdf Jumaat, Abdul Kadir and Wan Abdul Rahman, Wan Eny Zarina and Ibrahim, Arsmah and Mahmud, Rozi (2011) Segmentation and characterization of masses in breast ultrasound images using active contour. In: 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA 2011), 16-18 Nov. 2011, Kuala Lumpur, Malaysia. (pp. 404-409). 10.1109/ICSIPA.2011.6144126
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The active contour or Snake is a computer generated curve, used to trace boundaries of images. This paper presents the application of Snake for the segmentation of masses on breast ultrasound images and the characterization of the segmented masses as malignant or benign. Initially, the Balloon Snake is chosen to segment the masses. Comparison on the masses areas segmented by the Balloon Snake is done against the areas traced by radiologist. Experimental result shows that from fifty masses tested, the Balloon Snake successfully segment the masses with accuracy of 95.71%. Then, a mass is characterized as benign or malignant using a proposed method namely the semi-automated characterization (SAC) method. The method is based on the segmented masses produced by the Balloon Snake. The criterion of angular margin is considered in characterizing the masses as malignant or benign by the SAC method. The characterization reading of a mass by the SAC method is compared with thirty sets of characterization readings of a mass by different radiologists. The comparison is made in terms of sensitivity and specificity values. Based on the values, the receiver operating characteristics (ROC) curve is plotted for each set of comparison. From the thirty sets of comparisons, it is found that the area under curve of all the thirty ROC curves are greater than 0.7. The value implies that the SAC method gives high accuracy in characterizing benign from malignant mass. Since the method is based on the segmented masses by the Balloon Snake, the value also implies that the accuracy of Balloon Snake in segmenting the images is high (95.71%).
format Conference or Workshop Item
author Jumaat, Abdul Kadir
Wan Abdul Rahman, Wan Eny Zarina
Ibrahim, Arsmah
Mahmud, Rozi
spellingShingle Jumaat, Abdul Kadir
Wan Abdul Rahman, Wan Eny Zarina
Ibrahim, Arsmah
Mahmud, Rozi
Segmentation and characterization of masses in breast ultrasound images using active contour
author_facet Jumaat, Abdul Kadir
Wan Abdul Rahman, Wan Eny Zarina
Ibrahim, Arsmah
Mahmud, Rozi
author_sort Jumaat, Abdul Kadir
title Segmentation and characterization of masses in breast ultrasound images using active contour
title_short Segmentation and characterization of masses in breast ultrasound images using active contour
title_full Segmentation and characterization of masses in breast ultrasound images using active contour
title_fullStr Segmentation and characterization of masses in breast ultrasound images using active contour
title_full_unstemmed Segmentation and characterization of masses in breast ultrasound images using active contour
title_sort segmentation and characterization of masses in breast ultrasound images using active contour
publisher IEEE
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/45339/1/Segmentation%20and%20characterization%20of%20masses%20in%20breast%20ultrasound%20images%20using%20active%20contour.pdf
http://psasir.upm.edu.my/id/eprint/45339/
_version_ 1675328730541588480
score 13.211869

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