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Application of intelligent computational models on computed tomography lung images

Pheng, H. S. and Shamsuddin, S. M. and Kenji, S. (2011) Application of intelligent computational models on computed tomography lung images. International Journal of Advances in Soft Computing and Its Applications, 3 (2). ISSN 2074-8523

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With computed tomography (CT) scanners, hundreds of slices are generated to visualize the condition of lung per patient. The analysis on slices-by-slices dataset is time-consuming for radiologists. Therefore, automated identification of abnormalities on CT lung images is vital to assist the radiologists to make an interpretation and decision. In this paper, we review the performance of various conventional and computational intelligence algorithms in the segmentation, detection and quantification of lung nodules on CT lung images. The accuracy of lung region segmentation is found important as a preprocessing step to identify the lung nodules. By mean of these computerized systems, the detection and measurement of lung nodules can assist the radiologists to determine whether the lung nodules are benign or malignant.

Item Type:Article
Uncontrolled Keywords:computed tomography
Subjects:R Medicine > RC Internal medicine
Divisions:Computer Science and Information System
ID Code:44745
Deposited By: Haliza Zainal
Deposited On:21 Apr 2015 03:31
Last Modified:30 Aug 2017 07:31

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