ABSTRACT
A tumor is a mass of tissues that is formed by an accumulation of abnormal cells. Normally, the cells in our body grow, age, die, and are replaced by new cells but the cancer and other tumors damage this cycle. The tumor cells do grow, even if the body does not want them and unlike old cells, these cells do not die easily causing tumor or cancer. The brain is the interior most part of the central nervous system and is an intracranial solid neoplasm. Tumors are created by an abnormal and uncontrollable cell division in the brain. The axial view of the brain image scan has been used. The study of brain tumor is important as it is occurring in many people. In this project, an image segmentation method was proposed for the identification or detection of tumor from the brain. The methodology consists of the following steps: pre-processing by using grey-level, sharpening and median filters; segmentation of the image was performed by thresholding and also by applying the watershed segmentation. Finally the tumor region was obtained with its area and stage of cancer.
PROJECT OUTPUT
PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile: +91-7276355704
WhatsApp: +917276355704
Email: roshanphelonde@rediffmail.com
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