Masses characterization based on angular margin measurement
This paper presents the application of Active Contour or 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...
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| Format: | Conference or Workshop Item |
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IEEE
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| author | Jumaat, Abdul Kadir Wan Abdul Rahman, Wan Eny Zarina Ibrahim, Arsmah Yasiran, Siti Salmah Mahmud, Rozi A. Malek, Aminah |
| author_facet | Jumaat, Abdul Kadir Wan Abdul Rahman, Wan Eny Zarina Ibrahim, Arsmah Yasiran, Siti Salmah Mahmud, Rozi A. Malek, Aminah |
| author_sort | Jumaat, Abdul Kadir |
| collection | UPM |
| description | This paper presents the application of Active Contour
or 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 segmented mass by the Balloon Snake is characterized as benign or malignant based on the measurement of angular margin. The mass is considered as a malignant if it has at least one acute angular margin. Otherwise it is a benign. The characterization of a mass by the Balloon Snake
based on the criterion of angular margin is compared with the actual type of a mass characterized by an expert radiologist. The comparison is made in terms of sensitivity and specificity values. Based on the values, the receiver operating characteristics (ROC) curve is plotted. It is found that the area under curve is 0.8455.
The value implies that the Balloon Snake gives high accuracy in characterizing benign from malignant mass based on the criterion used. |
| first_indexed | 2024-03-06T08:44:39Z |
| format | Conference or Workshop Item |
| id | upm.eprints-39615 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T08:44:39Z |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-396152015-07-23T07:16:33Z http://psasir.upm.edu.my/id/eprint/39615/ Masses characterization based on angular margin measurement Jumaat, Abdul Kadir Wan Abdul Rahman, Wan Eny Zarina Ibrahim, Arsmah Yasiran, Siti Salmah Mahmud, Rozi A. Malek, Aminah This paper presents the application of Active Contour or 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 segmented mass by the Balloon Snake is characterized as benign or malignant based on the measurement of angular margin. The mass is considered as a malignant if it has at least one acute angular margin. Otherwise it is a benign. The characterization of a mass by the Balloon Snake based on the criterion of angular margin is compared with the actual type of a mass characterized by an expert radiologist. The comparison is made in terms of sensitivity and specificity values. Based on the values, the receiver operating characteristics (ROC) curve is plotted. It is found that the area under curve is 0.8455. The value implies that the Balloon Snake gives high accuracy in characterizing benign from malignant mass based on the criterion used. IEEE Conference or Workshop Item NonPeerReviewed Jumaat, Abdul Kadir and Wan Abdul Rahman, Wan Eny Zarina and Ibrahim, Arsmah and Yasiran, Siti Salmah and Mahmud, Rozi and A. Malek, Aminah Masses characterization based on angular margin measurement. In: 4th International Conference on Computational Intelligence, Modelling and Simulation (CIMSIM), 25-27 Sep. 2012, Kuantan, Pahang. (pp. 265-269). 10.1109/CIMSim.2012.50 |
| spellingShingle | Jumaat, Abdul Kadir Wan Abdul Rahman, Wan Eny Zarina Ibrahim, Arsmah Yasiran, Siti Salmah Mahmud, Rozi A. Malek, Aminah Masses characterization based on angular margin measurement |
| title | Masses characterization based on angular margin measurement |
| title_full | Masses characterization based on angular margin measurement |
| title_fullStr | Masses characterization based on angular margin measurement |
| title_full_unstemmed | Masses characterization based on angular margin measurement |
| title_short | Masses characterization based on angular margin measurement |
| title_sort | masses characterization based on angular margin measurement |
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