Anusha-J-5 / EXTRACTION-OF-BRAIN-TUMOR-FROM-MRI-IMAGES

The idea behind the project is to implement a strategy to detect brain tumor from the scans obtained via Magnetic resonance imaging using basic Image processing algorithms in Matlab. The algorithm has two stageS- preprocessing followed by segmentation and morphological operations.

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EXTRACTION-OF-BRAIN-TUMOR-FROM-MRI-IMAGES

The idea behind the project is to implement a strategy to detect brain tumor from the scans obtained via Magnetic resonance imaging using basic Image processing algorithms in Matlab. The algorithm has two stageS- preprocessing followed by segmentation and morphological operations. It uses adaptive K-means for clustering.

Papers referred to:

for Image Processing: IJRET: Rohini Paul Joseph , C. Senthil Singh , M.Manikandan: BRAIN TUMOR MRI IMAGE SEGMENTATION AND DETECTION IN IMAGE PROCESSING Rajesh C. Patil, Dr. A. S. Bhalchandra: Brain Tumour Extraction from MRI Images IEEE: P. Natarajan,N Krishnan Natasha Sandeep Kenkre,Shraiya Nancy,Bhuvanesh Pratap Singh: Tumor detection using threshold operation in MRI brain images

for Adaptive K-Means: Bhatia, Sanjiv. (2004). Adaptive K-Means Clustering.. 10.13140/2.1.4197.9845.

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The idea behind the project is to implement a strategy to detect brain tumor from the scans obtained via Magnetic resonance imaging using basic Image processing algorithms in Matlab. The algorithm has two stageS- preprocessing followed by segmentation and morphological operations.


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Language:MATLAB 100.0%