edge detection matlab code for brain tumor
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Brain tumor detection by edge detection
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Brain tumors are created by abnormal and uncontrolled cell division in the brain itself. If the growth becomes more than 50%, then the patient is not able to recover. So brain tumor detection needs to be fast and accurate. The objective of this work is to provide an efficient algorithm for the detection of the borders of the brain tumor. The first step begins with acquiring magnetic resonance imaging of the brain and then digital imaging techniques are applied to get the exact location and size of the tumor. Magnetic resonance imaging consists of gray and white matter and the region containing the tumor has more intensity. Therefore, the first noise filters are used for noise elimination, and then improvement techniques are applied to the MRI of the brain. Then the basic morphological operations are applied to extract the region suffering from tumor.


Digital imaging is an emerging field in which doctors and surgeons are receiving different, easy pathways for the analysis of complex diseases such as cancer, brain tumor, breast cancer, kidney stones, etc. Detection of brain diseases is a very difficult task. Special care is taken for the segmentation of the image. A particular part of the body is scanned in the discussed applications of image analysis and techniques such as MRI, computed tomography, x-rays. The images are judged by doctors or surgeons to solve problems. Brain tumor is a major cause of disability and death worldwide and related abnormalities constitute major changes in life. A huge growth has been made in the last decade for the brain tumor in the region of brain cancer diagnosis. Brain cancer has been noticed that it is spreading all over the world and many universities and medical research university centers are focused on the subject. It can be understood with an example in the US, in which 3000 children are brain-related diagnoses and brain tumors. Half of the children are dying at age 5 and leaving a fatal cancer in other children as well. The problem is more associated with neurological disabilities psychological problems, the delay leading the cause and the risk of death. It has been observed that Africans are having more chances of disease than other patients. In Tunisia, it is observed, for example, that cancer is the increase in mortality among the elderly responsible for 14.8% of deaths. After cardiovascular disease, the brain tumor is the second disease by which people are dying. The negative effect of the disease affects the economy of the country and society and disturbs both the family and the population. There are several tests, carried out on the patient to detect the cancer. Most commonly the test is Computerized Tomography (CT) and Magnetic Resonance Imaging (MRI), which are used to locate the brain tumor. The patient is influenced by the information obtained and the patient will receive.

 The widely used diagnostic technique is MRI. The classification and detection of the tumor is very expensive. MRI is an advanced technique for detecting brain cancer tissue and disease. Magnetic resonance imaging provides different information about different structures in the body that are achieved with the aid of an x-ray, computed tomography (CT), ultrasound, but MRI is the best technique for a higher quality of your images and has the advantage Of the lack of side effects in the tissues of the body. Magnetic resonance technology has a magnetic field and generates pulses of radio wave energy that makes pictures of structures and organs within a body. In addition, the amount of the resulting data is analyzed too manually. It constitutes the effective use of magnetic resonance imaging as the main obstacle and requires the effective application of automated or semiautomatic methods assisted by computer to analyze the images of the product.


It can be understood in the following video:


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