Segmentation of Lung Region Using Fuzzy Possibilistic C-means (fpcm)
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چکیده
Cancer is a disease in which abnormal cells of the body divide very fast, and generate excessive tissue that forms a tumor. Cancer cells are capable of spreading to other parts of the body through the blood and lymph systems. When the uncontrolled cell growth occurs in one or both lungs, it is said to be Lung Cancer. Besides, developing into a healthy, normal lung tissue, these abnormal cells continue dividing and form lumps or masses of tissue called tumors. The main function of the lung which is to carry the bloodstream with oxygen to the entire body is disturbed by these tumors. There are many types of cancers.
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Transactions on Engineering and Sciences, Vol. I, August 2013
This paper presents a latest survey of different technologies using fuzzy clustering algorithms. Clustering approach is widely used in biomedical field like image segmentation. A different methods are used for medical image segmentation like Improved Fuzzy C Means(IFCM), Possibilistic C Means(PCM),Fuzzy Possibilistic C Means(FPCM), Modified Fuzzy Possibilistic C Means(MFPCM) and Possibilistic F...
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