Segmentation of Lung Tumor in CT Scan Images using FA-FCM Algorithms
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 5
Abstract
Abstract: Lung Cancer is dangerous disease that cause most human to death at early age and it is an uncontrolled cell growth in tissues on the lung. Many algorithms and technologies are introduced for identifying the lung tumors and it does not provide efficient accuracy. Our proposed system introduces a new identification process for Lung tumor. Here, we introduced a novel algorithm named FA-FCM which is a combination of firefly algorithm and Fuzzy C-means clustering. The segmented output image is compared with expert segmented image in terms of Jaccard and Dice similarity values. Our proposed method produced better result on all the tested images compared with the gold/expert segmented images
Authors and Affiliations
P. Kalavathi , A. Dhavapandiammal
Keywords
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