Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification
Massive Training Artificial Immune Recognition System (MTAIRS) had been implemented in the computerized system to classify lung nodules on Computed Tomography (CT) scans. In this algorithm, large training sub-regions are trained, and the classification algorithm shows promising results in the lung n...
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| التنسيق: | مقال |
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International Center for Scientific Research and Studies
2019
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| الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/91481/ http://home.ijasca.com/data/documents/05_Page60-75_Enhanced-Massive-Training-Artificial-Immune-Recognition-System-for-False-Positives-Reduction-in-Lung-Nodules-Classification.pdf. |
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my.utm.914812021-06-30T12:17:10Z http://eprints.utm.my/id/eprint/91481/ Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification Pheng, H. S. Shamsuddin, S. M. Haur, O. K. QA75 Electronic computers. Computer science Massive Training Artificial Immune Recognition System (MTAIRS) had been implemented in the computerized system to classify lung nodules on Computed Tomography (CT) scans. In this algorithm, large training sub-regions are trained, and the classification algorithm shows promising results in the lung nodules classification. However, in the output images of non-nodule cases, some false positives are still identified in the MTAIRS. False positives are always considered as a common issue in most of the development of classification algorithms of lung nodules detection. The effort of reducing false positives in the output images from MTAIRS is presented where the enhancement is based on the affinity function in MTAIRS algorithms. The quantitative assessment on the classification results for detection of lung nodules will be presented in this research. International Center for Scientific Research and Studies 2019 Article PeerReviewed Pheng, H. S. and Shamsuddin, S. M. and Haur, O. K. (2019) Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification. International Journal of Advances in Soft Computing and its Applications, 11 (2). pp. 60-75. ISSN 20748523 http://home.ijasca.com/data/documents/05_Page60-75_Enhanced-Massive-Training-Artificial-Immune-Recognition-System-for-False-Positives-Reduction-in-Lung-Nodules-Classification.pdf. |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Pheng, H. S. Shamsuddin, S. M. Haur, O. K. Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification |
| description |
Massive Training Artificial Immune Recognition System (MTAIRS) had been implemented in the computerized system to classify lung nodules on Computed Tomography (CT) scans. In this algorithm, large training sub-regions are trained, and the classification algorithm shows promising results in the lung nodules classification. However, in the output images of non-nodule cases, some false positives are still identified in the MTAIRS. False positives are always considered as a common issue in most of the development of classification algorithms of lung nodules detection. The effort of reducing false positives in the output images from MTAIRS is presented where the enhancement is based on the affinity function in MTAIRS algorithms. The quantitative assessment on the classification results for detection of lung nodules will be presented in this research. |
| format |
Article |
| author |
Pheng, H. S. Shamsuddin, S. M. Haur, O. K. |
| author_facet |
Pheng, H. S. Shamsuddin, S. M. Haur, O. K. |
| author_sort |
Pheng, H. S. |
| title |
Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification |
| title_short |
Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification |
| title_full |
Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification |
| title_fullStr |
Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification |
| title_full_unstemmed |
Enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification |
| title_sort |
enhanced massive training artificial immune recognition system for false positives reduction in lung nodules classification |
| publisher |
International Center for Scientific Research and Studies |
| publishDate |
2019 |
| url |
http://eprints.utm.my/id/eprint/91481/ http://home.ijasca.com/data/documents/05_Page60-75_Enhanced-Massive-Training-Artificial-Immune-Recognition-System-for-False-Positives-Reduction-in-Lung-Nodules-Classification.pdf. |
| _version_ |
1705056719851225088 |
| score |
13.251813 |