Pixel machine learning with clonal selection algorithm for lung nodules visualization
The early detection of lung nodules is critical to provide a better chance of survival from lung cancer. Since benign/malignant lung cancer may be caused by the growth of lung nodules, the diagnosis of an early detection of lung nodules is important. With rapidly development of advanced technology,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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FAZ Publishing
2019
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| Online Access: | http://eprints.utm.my/87364/1/HangSeePheng2019_PixelMachineLearningwithClonal.pdf |
| _version_ | 1796864427096539136 |
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| author | Pang, Yuen Yuen Hang, See Pheng Yan, Soon Weei |
| author_facet | Pang, Yuen Yuen Hang, See Pheng Yan, Soon Weei |
| author_sort | Pang, Yuen Yuen |
| collection | ePrints |
| description | The early detection of lung nodules is critical to provide a better chance of survival from lung cancer. Since benign/malignant lung cancer may be caused by the growth of lung nodules, the diagnosis of an early detection of lung nodules is important. With rapidly development of advanced technology, detection of lung nodules becomes efficient by utilizing computer-aided detection (CAD) systems that can automatically detect and localize the nodules from computed tomography (CT) scans. CAD is fundamentally based on pattern recognition by extensive use of machine learning approaches which is highly interrelated to mathematical algorithms. In this study, a pixel machine learning algorithm which is developed by artificial immune system (AIS) based algorithm – Clonal Section Algorithm (CSA) is proposed for lung nodules visualization. By using pixel machine learning algorithm, several pre-processing procedures can be avoided to prevent the loss of information from image intensities. It is found that the proposed classification algorithm using original intensity values from CT scans is able to provide reasonable visualization results for lung nodules detection. |
| first_indexed | 2024-03-05T20:41:42Z |
| format | Article |
| id | utm.eprints-87364 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:41:42Z |
| publishDate | 2019 |
| publisher | FAZ Publishing |
| record_format | dspace |
| spelling | utm.eprints-873642020-11-30T09:03:26Z http://eprints.utm.my/87364/ Pixel machine learning with clonal selection algorithm for lung nodules visualization Pang, Yuen Yuen Hang, See Pheng Yan, Soon Weei QA Mathematics The early detection of lung nodules is critical to provide a better chance of survival from lung cancer. Since benign/malignant lung cancer may be caused by the growth of lung nodules, the diagnosis of an early detection of lung nodules is important. With rapidly development of advanced technology, detection of lung nodules becomes efficient by utilizing computer-aided detection (CAD) systems that can automatically detect and localize the nodules from computed tomography (CT) scans. CAD is fundamentally based on pattern recognition by extensive use of machine learning approaches which is highly interrelated to mathematical algorithms. In this study, a pixel machine learning algorithm which is developed by artificial immune system (AIS) based algorithm – Clonal Section Algorithm (CSA) is proposed for lung nodules visualization. By using pixel machine learning algorithm, several pre-processing procedures can be avoided to prevent the loss of information from image intensities. It is found that the proposed classification algorithm using original intensity values from CT scans is able to provide reasonable visualization results for lung nodules detection. FAZ Publishing 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/87364/1/HangSeePheng2019_PixelMachineLearningwithClonal.pdf Pang, Yuen Yuen and Hang, See Pheng and Yan, Soon Weei (2019) Pixel machine learning with clonal selection algorithm for lung nodules visualization. Communications in Computational and Applied Mathematics, 1 (1). pp. 12-17. ISSN 2682-7468 https://fazpublishing.com/ccam/index.php/ccam/article/download/4/2/ |
| spellingShingle | QA Mathematics Pang, Yuen Yuen Hang, See Pheng Yan, Soon Weei Pixel machine learning with clonal selection algorithm for lung nodules visualization |
| title | Pixel machine learning with clonal selection algorithm for lung nodules visualization |
| title_full | Pixel machine learning with clonal selection algorithm for lung nodules visualization |
| title_fullStr | Pixel machine learning with clonal selection algorithm for lung nodules visualization |
| title_full_unstemmed | Pixel machine learning with clonal selection algorithm for lung nodules visualization |
| title_short | Pixel machine learning with clonal selection algorithm for lung nodules visualization |
| title_sort | pixel machine learning with clonal selection algorithm for lung nodules visualization |
| topic | QA Mathematics |
| url | http://eprints.utm.my/87364/1/HangSeePheng2019_PixelMachineLearningwithClonal.pdf |
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