CFP last date
20 January 2025
Reseach Article

New Approach for Automated Detection and Area Calculation of Brain Tumor from MRI Images

by Maysaa Abd Ulkareem, Maha Salih Abdulredha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 3
Year of Publication: 2017
Authors: Maysaa Abd Ulkareem, Maha Salih Abdulredha
10.5120/ijca2017915683

Maysaa Abd Ulkareem, Maha Salih Abdulredha . New Approach for Automated Detection and Area Calculation of Brain Tumor from MRI Images. International Journal of Computer Applications. 177, 3 ( Nov 2017), 1-4. DOI=10.5120/ijca2017915683

@article{ 10.5120/ijca2017915683,
author = { Maysaa Abd Ulkareem, Maha Salih Abdulredha },
title = { New Approach for Automated Detection and Area Calculation of Brain Tumor from MRI Images },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2017 },
volume = { 177 },
number = { 3 },
month = { Nov },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number3/28603-2017915683/ },
doi = { 10.5120/ijca2017915683 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:44:49.690307+05:30
%A Maysaa Abd Ulkareem
%A Maha Salih Abdulredha
%T New Approach for Automated Detection and Area Calculation of Brain Tumor from MRI Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 3
%P 1-4
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Medical Image Processing is one of the most challenging and emerging topics in today’s research field. Processing of Magnetic Resonance Imaging (MRI) is one of the parts in this field. In recent years, In order to analyze a disease, Physicians consider MR imaging modality is the most efficient one for identification of cancer present in various organs. Therefore, analysis on MR imaging is required for efficient disease diagnosis. This paper describes the proposed strategy to detect and calculating its growth...This proposed method incorporates with some noise removal functions, segmentation and morphological functions which are considered to be the basic concepts of Image Processing. Detection and extraction of tumor from MRI scan images of the brain is done by using MATLAB software

References
  1. Mohamed Lamine Toure, 2010 .“Advanced Algorithm for Brain Segmentation using Fuzzy to Localize Cancer and Epilepsy Region”, International Conference on Electronics and Information Engineering (ICEIE 2010),Vol. no 2.
  2. Neha Tirpude & Rashmi Welekar, 2013 “Automated Detection and Extraction of Brain Tumor from MRI Images”, International Journal of Computer Applications (0975 – 8887) Volume 77– No.4,( September 2013).
  3. D.A. Dahab, S.A. Ghoniemy , G.M. Selim, 2012. “Automated Brain Tumor Detection and Identification using Image Processing and Probabilistic Neural Network techniques”. International Journal of Image Processing and Visual Communication, 1-8 .
  4. Jay Patel1 and Kaushal Doshi2 .2014 “A Study of Segmentation Methods for Detection of Tumor in Brain MRI”, Advance in Electronic and Electric Engineering .ISSN 2231-1297, Volume 4, Number 3 (2014), pp. 279-284,©ResearchIndia .
  5. J.Viner.2013, “Brain Tumors. University of California, San Francisco Department of Neurosurgery”, Availableathttp://nursing.ucsf medicalcenter.org/education/class Material/34_2.pdf.
  6. National cancer Institute, “What you need to know about Brain tumors”.
  7. [http://www.braintumor.org]
  8. Segmentation Techniques for Brain Images, International Journal of Computer Technology and Electronics Engineering (IJCTEE), Vol.3, Special Issue( March-April-2013 ).
Index Terms

Computer Science
Information Sciences

Keywords

MRI Brain Tumor segmentation morphology MATLAB.