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Brain Tumor Detection and Segmentation Using Conditional Random Field

Vulavabeti Raghunath Reddy1 , Shaik Anusha2 , K Ravindra Reddy3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 774-779, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.774779

Online published on Jan 31, 2019

Copyright © Vulavabeti Raghunath Reddy, Shaik Anusha, K Ravindra Reddy . 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: Vulavabeti Raghunath Reddy, Shaik Anusha, K Ravindra Reddy, “Brain Tumor Detection and Segmentation Using Conditional Random Field,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.774-779, 2019.

MLA Style Citation: Vulavabeti Raghunath Reddy, Shaik Anusha, K Ravindra Reddy "Brain Tumor Detection and Segmentation Using Conditional Random Field." International Journal of Computer Sciences and Engineering 7.1 (2019): 774-779.

APA Style Citation: Vulavabeti Raghunath Reddy, Shaik Anusha, K Ravindra Reddy, (2019). Brain Tumor Detection and Segmentation Using Conditional Random Field. International Journal of Computer Sciences and Engineering, 7(1), 774-779.

BibTex Style Citation:
@article{Reddy_2019,
author = {Vulavabeti Raghunath Reddy, Shaik Anusha, K Ravindra Reddy},
title = {Brain Tumor Detection and Segmentation Using Conditional Random Field},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {774-779},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3582},
doi = {https://doi.org/10.26438/ijcse/v7i1.774779}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.774779}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3582
TI - Brain Tumor Detection and Segmentation Using Conditional Random Field
T2 - International Journal of Computer Sciences and Engineering
AU - Vulavabeti Raghunath Reddy, Shaik Anusha, K Ravindra Reddy
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 774-779
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

Medical image processing is a highly challenging field. Medical imaging techniques are used to image the inner portions of the human body for medical diagnosis. MR images are widely used in the diagnosis of brain tumor. In this paper, we present an automated method to detect and segment the brain tumor regions. The proposed method consists of three main steps: initial segmentation, modeling of energy functions and optimize the energy function. To make our segmentation more reliable we use the information present in the T1 and FLAIR MRI images. We use Conditional random field (CRF) based framework to combined the information present in T1 and FLAIR in probabilistic domain. A main advantage of CRF based framework is we can model complex shapes easily and we incorporate the observations in energy function

Key-Words / Index Term

Conditional random field (CRF), Fuzzy-C-Means algorithm, Fuzzy C Means Clustering Algorithm

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