project on detection of brain tumor using image processing techniques
#1

Hi am Mohamed i would like to get details on project on detection of brain tumor using image processing techniques ..My friend Justin said project on detection of brain tumor using image processing techniques will be available here and now i am living at ......... and i last studied in the college/school ......... and now am doing ....i need help on ......etc
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#2
The tumor is a great growth of tissues in any part of the body. The area of the tumor can be distinguished according to its characteristics. Depending on the type of tumor the patient needs to receive treatment. Therefore, the brain tumor is a very serious disease because it will grow in a limited space within the skull. It has to be recognized in the early stages because it can lead to death. In our project we are using the technique of segmentation to detect the tumor. Tumours are the growth of cells that are abnormal in nature that may differ from normal cells because of their uncontrolled tissue characteristics growing in the brain. We can see the tumor in the radiological imaging format as x-ray, magnetic resonance, computed tomography. There are several methods for brain tumor segmentation. In our project we are using standardization and several preprocessing techniques. In the process of segmentation we can specify the tumor very easily and easily. In this search we present the technique for the detection of brain tumors using clustering segmentation. The proposed method can be applied successfully to detect the contour of the tumor and its geometric dimension 3.

Image processing is a process where the input image is processed to also output as an image. The primary purpose of all image processing techniques is to visually recognize the image or object under consideration. All images used in the world today are in digital format. Medical images are images that show the distribution of physical attributes. Medical imaging modalities such as MRI, computerized tomography rely heavily on computer technology to generate or display digital images of the internal organs of the human body that helps physicians visualize the inner portions of the body. Computed tomography, ultrasound, and magnetic resonance imaging took conventional x-ray images, allowing doctors to see the third dimension of the body. The protons and neutrons of the nucleus of an atom have an angular momentum known as spin. These turns are canceled when the number of subatomic particles in a nucleus is even. Odd-numbered cores will have a resulting effect. This forms the basis of magnetic resonance imaging. A magnetic resonance imaging (MRI) scanner uses powerful magnets to polarize and excite hydrogen nuclei (single proton) in human tissue, producing a signal that can be detected and encoded spatially, resulting in images of the body. The MRI machine emits a radiofrequency (RF) pulse that specifically binds to hydrogen. The system sends the pulse to that specific area of the body that needs to be examined. Because of the RF pulse, the protons in that area absorb the energy needed to make them rotate in a different direction. This is understood by MRI resonance. The RF pulse causes the protons to rotate at the frequency of the larmour, in a specific direction. This frequency is based on the particular tissue being formed and the intensity of the main magnetic field. The MR uses three electromagnetic fields: static field that is a very strong static magnetic field that polarizes the nuclei of hydrogen; A gradient field that is a weaker time variation field used for spatial coding; And a weak radiofrequency field for the manipulation of hydrogen nuclei to produce measurable signals, which are collected through a radiofrequency antenna.
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