International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 172 - Issue 2 |
Published: Aug 2017 |
Authors: Amrita Naik, Anusha Kavlekar, Floyd Avina Fernandes |
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Amrita Naik, Anusha Kavlekar, Floyd Avina Fernandes . Brain Tumor Detection using MRI Scan. International Journal of Computer Applications. 172, 2 (Aug 2017), 37-40. DOI=10.5120/ijca2017915082
@article{ 10.5120/ijca2017915082, author = { Amrita Naik,Anusha Kavlekar,Floyd Avina Fernandes }, title = { Brain Tumor Detection using MRI Scan }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 172 }, number = { 2 }, pages = { 37-40 }, doi = { 10.5120/ijca2017915082 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Amrita Naik %A Anusha Kavlekar %A Floyd Avina Fernandes %T Brain Tumor Detection using MRI Scan%T %J International Journal of Computer Applications %V 172 %N 2 %P 37-40 %R 10.5120/ijca2017915082 %I Foundation of Computer Science (FCS), NY, USA
Magnetic resonance imaging (MRI) is a powerful image which can also be used to detect abnormalities in the tissues such a tumor whereas CT scan does not provide detailed information in an image. This paper explains the various stages applied on the MRI image to detect the presence of the tumor. Various stages include pre-processing, segmentation, morphological filtering, feature extraction and neural network. The aim of this project is to propose a method that will efficiently and accurately detects the tumor. This proposed algorithm will help the doctor to detect the tumor more efficiently.