Paper Title : Brain tumor detection using machine learning methods
ISSN : 2394-2231
Year of Publication : 2021
MLA Style: Sawan Bhattacharyya,Anushree Chakraborty,Sukanya Das,Shree Mitra " Brain tumor detection using machine learning methods " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: Sawan Bhattacharyya,Anushree Chakraborty,Sukanya Das,Shree Mitra " Brain tumor detection using machine learning methods " Volume 8 - Issue 2 March-April , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
The advancement of the computerized methods had a great impact over medical diagnosis particularly on the automated system for tumor detection from brain MR images. Manual processing of the brain MR images for the detection of the abnormal tissue is a tedious and time-consuming task and are highly prone to errors due to the presence of high diversity in the appearance of the tumor tissue among a different number of patient and chances of confusion between normal and abnormal tissue is very high thus the automated system is highly appreciated. Automated systems work through first taking the input MR images of the brain then pre-processing of the images for removal of the noise as an important step in biomedical image processing. Diagnosis of the brain tumor through MR image hampered due to the presence of the artifacts and skull and the removal of these two is seen as an important step. The next most vital task is segmentation via some important segmentation methods viz. Fuzzy C-Means, Artificial Neural Network, Region Growing, and clustering to distinct the tumor from the normal tissue.
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— Index Terms—Segmentation,Artificial Neural Network, Fuzzy Cerebral Spinal fluid, Grey ter,Neurotransmitter,Action Potential