asking help for my project
#1

Hi sir/madam ...i am doing project in brain tumor detection in matlab..would you please send matlab code for that.this is my mail id ananciasag[at]gmail.com...its very urgent..i am eagerly expecting your reply ..thanks in advancem.
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#2

Tumour is defined as the abnormal growth of the tissues.
Brain tumor is an abnormal mass of tissue in which cells grow
and multiply uncontrollably, seemingly unchecked by the
mechanisms that control normal cells. Brain tumors can be
primary or metastatic, and either malignant or benign. A
metastatic brain tumor is a cancer that has spread from
elsewhere in the body to the brain
Epilepsy is a brain disorder in which clusters of nerve cells,
or neurons, in the brain sometimes signal abnormally.
Neurons normally generate electrochemical impulses that act
on other neurons, glands, and muscles to produce human
thoughts, feelings, and actions. In epilepsy, the normal pattern
of neuronal activity becomes disturbed, causing strange
sensations, emotions, and behavior or sometimes convulsions,
muscle spasms, and loss of consciousness [3].
Magnetic Resonance Imaging (MRI) is an advanced
medical imaging technique used to produce high quality
images of the parts contained in the human body MRI
imaging is often used when treating brain tumours, ankle, and
foot. From these high-resolution images, we can derive
detailed anatomical information to examine human brain
development and discover abnormalities. Nowadays there are
several methodology for classifying MR images, which are
fuzzy methods, neural networks, atlas methods, knowledge
based techniques, shape methods, variation segmentation.
MRI consists of T1 weighted, T2 weighted and PD (proton
density) weighted images and are processed by a system
which integrates fuzzy based technique with multispectral
analysis [2].
Pre-processing of MRI images is the primary step in image
analysis which perform image enhancement and noisereduction
techniques which are used to enhance the image
quality, then some morphological operations are applied to
detect the tumor in the image. The morphological operations
are basically applied on some assumptions about the size and
shape of the tumour and in the end the tumour is mapped onto
the original gray scale image with 255 intensity to make
visible the tumour in the image. The algorithm has been tried
on a number of patients MRI data of brain tumour images in.
To get data about it please visit the given page link :

http://ijecscsepapers/apr2012/brain-tumour-extraction-from-mri-images-using-matlab.pdf
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