Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system

© 2018 IEEE. Lung nodule detection is a crucial task in lung cancer examination since early detection may lead to more successful treatment. In this work, a novel lung nodule detection algorithm based upon the interval type-2 fuzzy logic system is proposed. The method utilizes four features consisti...

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Main Authors:	Kornkamon Suttitanawat, Apinun Uppanun, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Patiwet Wuttisarnwattana
格式:	Conference Proceeding
出版:	2019
主題:	Chemical Engineering Computer Science Engineering Mathematics
在線閱讀:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065023881&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65459
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機構:	Chiang Mai University

id	th-cmuir.6653943832-65459
record_format	dspace
spelling	th-cmuir.6653943832-654592019-08-05T04:39:18Z Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system Kornkamon Suttitanawat Apinun Uppanun Sansanee Auephanwiriyakul Nipon Theera-Umpon Patiwet Wuttisarnwattana Chemical Engineering Computer Science Engineering Mathematics © 2018 IEEE. Lung nodule detection is a crucial task in lung cancer examination since early detection may lead to more successful treatment. In this work, a novel lung nodule detection algorithm based upon the interval type-2 fuzzy logic system is proposed. The method utilizes four features consisting of D-descriptors, the average intensity of the inside boundary, the circularity ratio, and HH diagonal component from the wavelet transform. The proposed method can promisingly detect the probable locations of nodules. The system produces 0.82 of true positive rate with 13.11 false positives per image. 2019-08-05T04:33:37Z 2019-08-05T04:33:37Z 2019-04-08 Conference Proceeding 2-s2.0-85065023881 10.1109/ICCSCE.2018.8684996 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065023881&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65459
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Chemical Engineering Computer Science Engineering Mathematics
spellingShingle	Chemical Engineering Computer Science Engineering Mathematics Kornkamon Suttitanawat Apinun Uppanun Sansanee Auephanwiriyakul Nipon Theera-Umpon Patiwet Wuttisarnwattana Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system
description	© 2018 IEEE. Lung nodule detection is a crucial task in lung cancer examination since early detection may lead to more successful treatment. In this work, a novel lung nodule detection algorithm based upon the interval type-2 fuzzy logic system is proposed. The method utilizes four features consisting of D-descriptors, the average intensity of the inside boundary, the circularity ratio, and HH diagonal component from the wavelet transform. The proposed method can promisingly detect the probable locations of nodules. The system produces 0.82 of true positive rate with 13.11 false positives per image.
format	Conference Proceeding
author	Kornkamon Suttitanawat Apinun Uppanun Sansanee Auephanwiriyakul Nipon Theera-Umpon Patiwet Wuttisarnwattana
author_facet	Kornkamon Suttitanawat Apinun Uppanun Sansanee Auephanwiriyakul Nipon Theera-Umpon Patiwet Wuttisarnwattana
author_sort	Kornkamon Suttitanawat
title	Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system
title_short	Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system
title_full	Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system
title_fullStr	Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system
title_full_unstemmed	Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system
title_sort	lung nodule detection from chest x-ray images using interval type-2 fuzzy logic system
publishDate	2019
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065023881&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65459
_version_	1681426272742277120

Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system

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