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

by A. Meena, K. Raja
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 10
Year of Publication: 2012
Authors: A. Meena, K. Raja
10.5120/9150-3399

A. Meena, K. Raja . Segmentation of Alzheimer’s Disease in Pet Scan Datasets using Matlab. International Journal of Computer Applications. 57, 10 ( November 2012), 15-19. DOI=10.5120/9150-3399

@article{ 10.5120/9150-3399,
author = { A. Meena, K. Raja },
title = { Segmentation of Alzheimer’s Disease in Pet Scan Datasets using Matlab },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 10 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number10/9150-3399/ },
doi = { 10.5120/9150-3399 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:00:04.711024+05:30
%A A. Meena
%A K. Raja
%T Segmentation of Alzheimer’s Disease in Pet Scan Datasets using Matlab
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 10
%P 15-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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

References
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Index Terms

Computer Science
Information Sciences

Keywords

Clustering K- means FCM PET scan images MATLAB MIPAV

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