Noor, N. M. and Rijal, O. M. and Than, J. C. M. and Kassim, R. M. and Yunus, A. (2016) Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs. In: 7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015, 25-27 Nov 2015, Auckland, New Zealand.
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Abstract
Segmentation of the lung from HRCT Thorax images was studied. An automatic method of determining segmentation area is proposed. High quality of segmentation is considered achieved when the segmented area from the proposed algorithm is almost identical to the area obtained from the manual tracings by lung expert (ground truth). High correlation between the two types of segmented areas showed that regression may be used as a tool to measure segmentation quality. Supplementary information may also be obtained from the regression plot. Prediction interval may be used as a possible indicator of diseased whilst outliers may show or indicate low segmentation quality or a possible severity of the disease.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | High resolution computed tomography, Lung segmentation, Regression, Segmentation quality |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Razak School of Engineering and Advanced Technology |
| ID Code: | 73690 |
| Deposited By: | Mohd Zulaihi Zainudin |
| Deposited On: | 28 Nov 2017 08:38 |
| Last Modified: | 28 Nov 2017 08:38 |
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