Review of Brain Tumor Detection using Pattern Recognition Techniques
D. Moitra1 , R. Mandal2
Section:Review Paper, Product Type: Journal Paper
Volume-5 ,
Issue-2 , Page no. 121-123, Feb-2017
Online published on Mar 01, 2017
Copyright © D. Moitra, R. Mandal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: D. Moitra, R. Mandal , “Review of Brain Tumor Detection using Pattern Recognition Techniques,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.2, pp.121-123, 2017.
MLA Style Citation: D. Moitra, R. Mandal "Review of Brain Tumor Detection using Pattern Recognition Techniques." International Journal of Computer Sciences and Engineering 5.2 (2017): 121-123.
APA Style Citation: D. Moitra, R. Mandal , (2017). Review of Brain Tumor Detection using Pattern Recognition Techniques. International Journal of Computer Sciences and Engineering, 5(2), 121-123.
BibTex Style Citation:
@article{Moitra_2017,
author = {D. Moitra, R. Mandal },
title = {Review of Brain Tumor Detection using Pattern Recognition Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2017},
volume = {5},
Issue = {2},
month = {2},
year = {2017},
issn = {2347-2693},
pages = {121-123},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1189},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1189
TI - Review of Brain Tumor Detection using Pattern Recognition Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - D. Moitra, R. Mandal
PY - 2017
DA - 2017/03/01
PB - IJCSE, Indore, INDIA
SP - 121-123
IS - 2
VL - 5
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
Malignant Brain Tumor is one of the most lethal diseases on the Earth. Identifying such a tumor at an early stage is highly necessary in order to treat it properly. Medical imaging plays an important role to detect brain tumors. Although, MRI (Magnetic Resonance Imaging) is often considered to be the most suitable technique to diagnose such a tumor, it has its own limitations. On the other hand, PET (Positron Emission Tomography) has emerged as a more efficient technique to detect a brain tumor both in its pre and post treatment stages. The present work has been carried out with an objective to plan a strategy to identify brain tumors using Artificial Neural Network (ANN) and segmented PET images.
Key-Words / Index Term
Malignant Brain Tumor, (Magnetic Resonance Imaging), PET (Positron Emission Tomography), Artificial Neural Network (ANN)
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