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

Hi am viji would like to get details on project on detection of brain tumor using image processing techniques ..My friend nisha said project on detection of brain tumor using image processing techniques will be available here and now i am living at tamilnadu and i studied in the college/school orapanavilai and now am doing PG i need help on Literature review ppt for brein and skin cancer
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#2

The human body is composed of several types of cells. The brain is a highly specialized and sensitive organ of the human body. The brain tumor is a very harmful disease for humans. The brain tumor is an intracranial mass composed of an abnormal growth of tissue in the brain or around the brain. The brain tumor can be detected by benign or malignant type. The non-cancerous and malignant benign is cancerous. The malignant tumor is classified into two types; Primary tumor and secondary benign tumor is less harmful than malignant. The malignant tumor that spreads rapidly entering other tissues of the brain therefore the patients worsening condition are loose. Detection of brain tumors is a very difficult problem because of the complex structure of the brain.

Tumors 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. The tumor in the radiological imaging format as x-ray, magnetic resonance, computed tomography. There are several methods for brain tumor segmentation.  The proposed method can be applied successfully to detect the contour of the tumor and its geometric dimension 3.

Magnetic resonance imaging (MRI) is one of the best technologies currently used to diagnose brain tumor. The brain tumor is diagnosed in advanced stages with the help of magnetic resonance imaging. Segmentation is an important process for extracting regions that are suspicious of complex medical images. Automatic detection of brain tumor through MRI can provide the valuable insight and precision of the early detection of brain tumors. In this paper an intelligent system is designed to diagnose brain tumor through MRI using image processing clustering algorithms such as Fuzzy C Means along with intelligent optimization tools such as Genetic Algorithm (GA) and Swarm Optimization Particles (PSO). Tumour detection is performed in two phases: Preprocessing and Improvement in the first phase and segmentation and classification in the second phase.
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