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Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs

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...

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Main Authors: Noor, N. M., Rijal, O. M., Than, J. C. M., Kassim, R. M., Yunus, A.
Format: Conference or Workshop Item
Published: Springer Verlag 2016
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/73690/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959017192&doi=10.1007%2f978-3-319-29451-3_40&partnerID=40&md5=bb2b8bc97813e5f889eb0de69af057ec
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id my.utm.73690
record_format eprints
spelling my.utm.736902017-11-28T08:38:32Z http://eprints.utm.my/id/eprint/73690/ Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs Noor, N. M. Rijal, O. M. Than, J. C. M. Kassim, R. M. Yunus, A. T Technology (General) 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. Springer Verlag 2016 Conference or Workshop Item PeerReviewed 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. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959017192&doi=10.1007%2f978-3-319-29451-3_40&partnerID=40&md5=bb2b8bc97813e5f889eb0de69af057ec
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/
topic T Technology (General)
spellingShingle T Technology (General)
Noor, N. M.
Rijal, O. M.
Than, J. C. M.
Kassim, R. M.
Yunus, A.
Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs
description 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.
format Conference or Workshop Item
author Noor, N. M.
Rijal, O. M.
Than, J. C. M.
Kassim, R. M.
Yunus, A.
author_facet Noor, N. M.
Rijal, O. M.
Than, J. C. M.
Kassim, R. M.
Yunus, A.
author_sort Noor, N. M.
title Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs
title_short Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs
title_full Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs
title_fullStr Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs
title_full_unstemmed Regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs
title_sort regression as a tool to measure segmentation quality and preliminary indicator of diseased lungs
publisher Springer Verlag
publishDate 2016
url http://eprints.utm.my/id/eprint/73690/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959017192&doi=10.1007%2f978-3-319-29451-3_40&partnerID=40&md5=bb2b8bc97813e5f889eb0de69af057ec
_version_ 1643656721093099520
score 13.211869

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