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Segmentation of Alzheimer's Disease in Pet Scan Datasets using Matlab

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 57 - Number 10
Year of Publication: 2012
A. Meena
K. Raja

A Meena and K Raja. Article: Segmentation of Alzheimers Disease in Pet Scan Datasets using Matlab. International Journal of Computer Applications 57(10):15-19, November 2012. Full text available. BibTeX

	author = {A. Meena and K. Raja},
	title = {Article: Segmentation of Alzheimers Disease in Pet Scan Datasets using Matlab},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {57},
	number = {10},
	pages = {15-19},
	month = {November},
	note = {Full text available}


Positron Emission Tomography (PET) scan images are one of the bio medical imaging techniques similar to that of MRI scan images but PET scan images are helpful in finding the development of tumors. The PET scan images requires expertise in the segmentation where clustering plays an important role in the automation process. The segmentation of such images is manual to automate the process clustering is used. Clustering is commonly known as unsupervised learning process of n dimensional data sets are clustered into k groups (k


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